semiconductor wireless sensor internet of things (iot

WinterGreen Research, INC.

REPORT # SH25861725 492 PAGES 189 TABLES AND FIGURES 2014

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Semiconductor Wireless Sensor Internet of Things (IoT): Market Shares, Strategies, and Forecasts, Worldwide,

2014 to 2020

Mountains of Opportunity

WinterGreen Research, Inc.

Lexington, Massachusetts www.wintergreenresearch.com 781 853 5078

http://www.wintergreenresearch.com/�




WinterGreen Research, Inc.

Lexington, Massachusetts

www.wintergreenresearch.com

(781) 863-5078




Semiconductor Wireless Sensor Networks: Users Connect Sensors to Achieve Monitoring and Implementing the Internet of Things – (IoT)

CHECK OUT THESE KEY TOPICS

Wireless Sensor Network WSN

Internet of Things Smart Cities

M2M Platform Smart Planet

Wireless Nodes Microcontroller

Energy Harvesting Vibration-Based Wireless

Energy internet things

Smart cities Wireless sensors Sensor networks

Mote Device nodes

Zigbee Wifi

GPRS Cloud

Open source Smart Computing Power Community

Wireless Sensor Networks Smart Cities

Smart Buildings Military Remote Energy

Applications Off-Grid Special Energy

Energy harvesters Powering Pipeline Monitoring

Stations Lighting Community Manganese dioxide

Nanoparticles Nanotechnology Graphene

Self-assembly Nanostructured Thin Films Microgenerator Transforms

Mechanical Energy Solid State Technology

Microgenerator Power Source Of Sensor

Sensor node Wireless Sensor Network

Economies of Scale Internet of Things

IoT Wireless Sensor Network

Standards System on a Chip (SOC)

Blue Tooth SimpliciTI

M2M LXRS® PROTOCOL

ZigBee Alliance Powering Current Sensors

Semiconductor Wireless Sensor Network: Economies of Scale Provide Growth Based on Proliferatiion of Independent Devices

Semiconductor Wireless Sensor Network: Market Shares, Strategies, and Forecasts, Worldwide, 2014-2020

LEXINGTON, Massachusetts (February 19, 2014) – WinterGreen Research announces that it has published a new study Wireless Sensor Network Market Shares, Strategy, and Forecasts, Worldwide, 2014 to 2020. The 2014 study has 640 pages, 266 tables and figures. Worldwide markets are poised to achieve significant growth as the Semiconductor Wireless Sensor Network is used to implement the




Internet of things and to monitor pipelines, oil wells, and healthcare patients to illustrate the variety of projects supported by these networks. Semiconductor wireless sensor networks are used for bridge monitoring, implementing the smart grid, implementing the Internet of things, and monitoring for security implementation. The systems are used to implement energy savings in homes and commercial buildings, almost anything can be monitored with sensors and tracked on a smart phone. Projects are ongoing. With 9 billion devices connected to the Internet in 2014, phenomenal growth is likely to occur when that number rises to 100 billion by 2020. Businesses control devices with sensors and wireless sensor networks (WSNs). The sensors connected to the Internet promise to bring a big data explosion. Much of the data will be discarded, as users get simply overwhelmed by vast volumes. Analytics will become popular inside the wireless sensor networks so that alerts are generated at the point of collection of data. The issue is how to embed analytics into the wireless sensor network control units so that only the alert data needed is transmitted. Users of information need to be able to find, control, manage, and secure the information coming from sensors onto the network. Users need to analyze and exploit the information coming from sensors. Advanced technologies for wireless sensor networks are associated with emerging ways of interconnecting devices that have never been connected before. Networking is based on leveraging the feasibility of making sensors work independently in groups to accomplish insight not otherwise available. Advanced storage devices are emerging simultaneously with the energy harvesting devices that are economical, making sensor networks feasible. Storage devices can leverage the power captured by energy harvesting when sensors and devices are interconnected as a network. Data storage technologies connected to the sensors are permitting far better control of the world around us, implementing vastly improved energy efficiency as lights and hearting are turned on and off just as needed. Wireless sensor networks implement cost-effective systems. Wireless sensor networks are developing a market presence. They are set to power wireless sensor network proliferation. Independent sensor devices located almost anywhere have attained workable levels of efficiency. The proliferation of apps on smart phones will drive growth of semiconductor wireless sensor networks markets because the sensors work directly as they are installed without excess labor and wiring that has been necessary previously, making the systems more convenient to install and run. Healthy lifestyle choices can increase the length of DNA sequences found at the end of a person's chromosomes and reverse aging. This discovery is likely to increase interest in monitoring and testing DNA sequences and looking at the ends of the chromosomes. This discovery is likely to increase a shift toward wellness initiatives. It has stimulated the need for better communication between clinicians and




patients. New sensor technology creates the opportunity for monitoring and testing. Wireless sensor network devices can be used to send alerts to at risk people who are exercising. Wireless sensor networking is set to grow as sensors are freed from the grid and networks implement connectivity that is mesh architecture based. Converting ambient energy to useable electrical energy harvesting (EH) systems creates the opportunity to implement wireless sensor networks. These networks interconnect an inexpensive and compact group of devices and sensors. The networks use wireless capability to power portable electrical devices. According to Susan Eustis, lead author of the WinterGreen Research team that prepared the semiconductor wireless sensor network market research study, “Semiconductor wireless sensor network markets are evolving as smart phone devices and technology find more uses throughout the landscape of the Internet of Things. Sensors can provide monitoring that has not previously been available. Differential diagnostic tools support provide differential information that helps manage our daily lives from traffic patterns to crime detections, to medical treatment.” “The decision process take into account clinical findings from the home monitoring devices and from symptoms verbally communicated in a clinical services setting. Improved economics of healthcare delivery implementation is facilitated by wireless sensor networks. This is true across the spectrum of things that can be monitored by sensors” Semiconductor Wireless Sensor Networks Markets at $2.7 billion in 2013 are forecast to reach $12 billion Worldwide by 2020. Wild growth, frequently measured as penetration rates is a result of the change out of wired sensor networks for wireless ones. In addition, the wireless networks have a broader reach than the wired ones did, spurring market extensions in a variety of applications, some not even thought of so far. Market growth is dependent on emerging technology. As the wireless technology, the solid state battery, the sensor technology, smart phone technology and the energy harvesting technology all become commercialized, these devices will be used to implement wireless sensor networks. The semiconductor wireless sensor networks markets will be driven by the adoption of 9 billion smart phones by 2020, creating demand for apps that depend on sensor networks. WinterGreen Research is an independent research organization funded by the sale of market research studies all over the world and by the implementation of ROI models that are used to calculate the total cost of ownership of equipment, services, and software. The company has 35 distributors worldwide, including Global Information Info Shop, Market Research.com, Research and Markets, Electronics.CA, Bloomberg, and Thompson Financial. WinterGreen Research is positioned to help customers face challenges that define the modern enterprises. The increasingly global nature of science, technology and engineering is a reflection of the implementation of the globally integrated enterprise. Customers trust WinterGreen Research to work alongside them to ensure the success of the participation in a particular market segment.




WinterGreen Research supports various market segment programs; provides trusted technical services to the marketing departments. It carries out accurate market share and forecast analysis services for a range of commercial and government customers globally. These are all vital market research support solutions requiring trust and integrity. Wireless Sensor Network, WSN , Internet of Things, Smart Cities, M2M Platform, Smart Planet, Wireless Nodes, Microcontroller , Energy Harvesting, Vibration-Based Wireless Energy, internet things, Smart cities, Wireless sensors , Sensor networks , Mote , Device nodes, Zigbee , Wifi , GPRS , Cloud , Open source, Smart Computing, Power Community, Wireless Sensor Networks, Smart Cities, Smart Buildings, Military Remote Energy Applications, Off-Grid Special Energy, Energy harvesters , Powering Pipeline Monitoring Stations, Lighting Community, Manganese dioxide, Nanoparticles, Nanotechnology Graphene, Self-assembly, Nanostructured Thin Films, Microgenerator Transforms Mechanical Energy, Solid State Technology, Microgenerator, Power Source Of Sensor , Sensor node, Wireless Sensor Network Economies of Scale, Internet of Things, IoT, Wireless Sensor Network Standards, System on a Chip (SOC), Blue Tooth, SimpliciTI, M2M, LXRS® PROTOCOL, ZigBee Alliance, Powering Current Sensors,

Companies Profiled

Market Leaders Renesas Lord Microsemi Semtech Silicon Laboratories Analog Devices Linear Technology / Dust Networks Millennial Net Texas Instruments / National Semi

Market Participants

Akamai Analog Devices Conexant Systems Dialog Freescale Semiconductor Fujitsu Gemalto Honeywell IBM

Integrated Device Technology (IDT) Invensys 356 Libelium 360 Millennial Net Mitsubishi Electric Northrop Grumman OMRON Rockwell Automation

Schneider Electric Semtech Sensata Technologies Texas Instruments Zigbee Z-wave




Semiconductor Wireless Sensor Network: Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020

Report Methodology

This is the 586th report in a series of primary market research reports that provide forecasts in communications, telecommunications, the Internet, computer, software, telephone equipment, health equipment, and energy. Automated process and significant growth potential are priorities in topic selection. The project leaders take direct responsibility for writing and preparing each report. They have significant experience preparing industry studies. Forecasts are based on primary research and proprietary data bases.

The primary research is conducted by talking to customers, distributors and companies. The survey data is not enough to make accurate assessment of market size, so WinterGreen Research looks at the value of shipments and the average price to achieve market assessments. Our track record in achieving accuracy is unsurpassed in the industry. We are known for being able to develop accurate market shares and projections. This is our specialty.

The analyst process is concentrated on getting good market numbers. This process involves looking at the markets from several different perspectives, including vendor shipments. The interview process is an essential aspect as well. We do have a lot of granular analysis of the different shipments by vendor in the study and addenda prepared after the study was published if that is appropriate.

Forecasts reflect analysis of the market trends in the segment and related segments. Unit and dollar shipments are analyzed through consideration of dollar volume of each market participant in the segment. Installed base analysis and unit analysis is based on interviews and an information search. Market share analysis includes conversations with key customers of products, industry segment leaders, marketing directors, distributors, leading market participants, opinion leaders, and companies seeking to develop measurable market share.

Over 200 in depth interviews are conducted for each report with a broad range of key participants and industry leaders in the market segment. We establish accurate market forecasts based on economic and




market conditions as a base. Use input/output ratios, flow charts, and other economic methods to quantify data. Use in-house analysts who meet stringent quality standards.

Interviewing key industry participants, experts and end-users is a central part of the study. Our research includes access to large proprietary databases. Literature search includes analysis of trade publications, government reports, and corporate literature.

Findings and conclusions of this report are based on information gathered from industry sources, including manufacturers, distributors, partners, opinion leaders, and users. Interview data was combined with information gathered through an extensive review of internet and printed sources such as trade publications, trade associations, company literature, and online databases. The projections contained in this report are checked from top down and bottom up analysis to be sure there is congruence from that perspective.

The base year for analysis and projection is 2010. With 2010 and several years prior to that as a baseline, market projections were developed for 2014 through 2020. These projections are based on a combination of a consensus among the opinion leader contacts interviewed combined with understanding of the key market drivers and their impact from a historical and analytical perspective. The analytical methodologies used to generate the market estimates are based on penetration analyses, similar market analyses, and delta calculations to supplement independent and dependent variable analysis. All analyses are displaying selected descriptions of products and services.

This research includes reference to an ROI model that is part of a series that provides IT systems financial planners access to information that supports analysis of all the numbers that impact management of a product launch or large and complex data center. The methodology used in the models relates to having a sophisticated analytical technique for understanding the impact of workload on processor consumption and cost.

WinterGreen Research has looked at the metrics and independent research to develop assumptions that reflect the actual anticipated usage and cost of systems. Comparative analyses reflect the input of these values into models.

The variables and assumptions provided in the market research study and the ROI models are based on extensive experience in providing research to large enterprise organizations and data centers. The ROI models have lists of servers from different manufacturers, Systems z models from IBM, and labor costs by category around the world. This information has been developed from WinterGreen research proprietary data bases constructed as a result of preparing market research studies that address the software, energy, healthcare, telecommunications, and hardware businesses.




YOU MUST HAVE THIS STUDY

Semiconductor Wireless Sensor Network Market Shares, Strategies, and Forecasts, Worldwide,

2014-2020 Table of Contents

Semiconductor Wireless Sensor Network Executive Summary

The study is designed to give a comprehensive overview of the Semiconductor Wireless Sensor Network device market segment. Research represents a selection from the mountains of data available of the most relevant and cogent market materials, with selections made by the most senior analysts. Commentary on every aspect of the market from independent analysts creates an independent perspective in the evaluation of the market. In this manner the study presents a comprehensive overview of what is going on in this market, assisting managers with designing market strategies likely to succeed.

SEMICONDUCTOR WIRELESS SENSOR NETWORK MARKET EXECUTIVE SUMMARY 30 Semiconductor Wireless Sensor Networks Market Driving Forces 30

Semiconductor Wireless Sensor Networking Market 32 Wireless Sensor Network Energy Harvesting And Storage Applications 35

Semiconductor Wireless Sensor Network Market Shares 35 Semiconductor Wireless Sensor Networks Market Forecast 37 Semiconductor Wireless Sensor Network Market Description and Market Dynamics

1. SEMICONDUCTOR WIRELESS SENSOR NETWORK 40 1.1 Wireless Sensor Network Market Segments 40




40 1.1.1 Global Spectrum Allocation 41

1.2 Semiconductor Wireless Sensor Network Applications 42 1.2.1 Dust Networks Applications 47 1.2.2 Vigilent and Dust Networks Reduce Data Center Energy Consumption 48 1.2.3 Dust Networks Transportation Examples 48 1.2.4 Data Center Wireless Sensor Networks 49 1.2.5 Wireless Sensor Network Applications and Benefits 53

Semiconductor Wireless Sensor Network Market Shares and Market Forecasts

2. SEMICONDUCTOR WIRELESS SENSOR NETWORK MARKET SHARES AND MARKET FORECASTS55 2.1 Semiconductor Wireless Sensor Networks Market Driving Forces 55

2.1.1 Semiconductor Wireless Sensor Networking Market 57 2.1.2 Wireless Sensor Network Energy Harvesting And Storage Applications 60

2.2 Semiconductor Wireless Sensor Network Market Shares 60 2.2.1 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology 64 2.2.2 Linear Technology / Dust Networks Applications 64 2.2.3 Linear Technology / Dust Networks Data Center Wireless Sensor Networks 65 2.2.4 Microsemi Airplane Wireless Sensor Networks 65 2.2.5 IBM Mote Runner Software Development Kit 66

2.3 Semiconductor Wireless Sensor Networks Market Forecast 67 2.3.1 Semiconductor Wireless Sensor Network Applications Forecasts 70 2.3.2 Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts 74 2.3.3 Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments Market Forecasts 75 2.3.4 Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts 77 2.3.5 Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts 78 2.3.6 Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments Market Forecasts 80 2.3.7 Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks Market Forecasts 82

2.4 Semiconductor Wireless Sensor Network OEM Markets 83 2.5 Internet Grows 86

2.5.1 Sensors Plus The Cloud 87 2.6 Internet of Things (IoT) Growth 87 2.7 Semiconductor Wireless Sensor Networks Market Prices 89 2.8 Semiconductor Wireless Sensor Networks Regional Market Analysis 90

Semiconductor Wireless Sensor Network Product Description

This section describes selected companies and selected products. Products for this market segment are described with attention to the most significant aspect of features and functions in this category of product.




The juxtaposition of a range of different product descriptions from a single market category provides a really good way to access market directions and achieve market competitive analysis. This section is arranged in three pieces: immersive products, conference room products, and end point products. Company products are described in the appropriate sections, meaning a company is mentioned several times in the chapter in different places.

3. WIRELESS SENSOR NETWORK PRODUCT DESCRIPTION 94 3.1 Renesas Electronics Wireless Sensor Network Semiconductors 94

3.1.1 Renesas Expertise Create And Promote New Markets 97 3.1.2 Renesas Electronics Manages Rapid Pace Of Change For Wireless Sensor Networks 98 3.1.3 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology Markets 101 3.1.4 Renesas Addresses Semiconductor Rapid Pace Of Change 102 3.1.5 Renesas Sees Demise of Wired Networks 103 3.1.6 Renesas Analog Front End Brings The Sensor and Microcontroller Together 104 3.1.7 Renesas Smart Analog Technology 105 3.1.8 Renesas Reduces Development Time 107 3.1.9 Renesas Low-Power, Small Footprint Hardware Platform 109 3.1.10 Renesas Providing Intelligence To Every Sensor 110 3.1.11 Renesas Proposing New Communication Technologies: BAN and VLC 111 3.1.12 Renesas Applications for Body Area Networks 112 3.1.13 Renesas Visible Light Communication Techniques 114 3.1.14 Renesas Expanding the Operational Capability Of Sensor Modules 116 3.1.15 Renesas Smart Car 116

3.2 Linear Technology / Dust Networks 123 3.2.1 Linear Technology Wireless Sensor Networks for Green Data Centers 125 3.2.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network 126 3.2.3 Linear Technology / Dust Networks Embedded Wireless Systems 127 3.2.4 Linear Technology / Dust Networks / Cymbet 130 3.2.5 Dust Networks Connects Smart Devices 131 3.2.6 Dust Networks Eterna IEEE 802.15.4e System-on-Chip Platform 133 3.2.7 Dust Networks Dynamic Network Optimization 134 3.2.8 SmartMesh IP Embedded Products 135

3.3 Libelium Video Wireless Sensor Networks 137 3.3.1 Libelium Waspmote Uses ZigBee, Bluetooth and Wi-Fi Protocols 139 3.3.2 Libelium Waspmote and Meshlium 142 3.3.3 Libelium Meshlium 143 3.3.4 Libelium Capturing and Storing Sensor Data in Meshlium from a Waspmote Sensor Network 145

3.4 Microsemi Airplane Wireless Sensor Networks 146 3.4.1 Microsemi FPGAs 149 3.4.2 Microsemi TVS devices 149 3.4.3 Microsemi Integrated Circuits 150 3.4.4 Microsemi Wireless Sensor Networks 151 3.4.5 Microsemi Wireless Sensors 152

3.5 Silicon Labs 152 3.5.1 Silicon Labs Network Protocols 155 3.5.2 Silicon Labs EZMacPRO and EZHop Software Modules Position in the OSI Model 157 3.5.3 Silicon Laboratories Wireless Sensor Networks 158 3.5.4 Silicon Laboratories 159 3.5.5 Silicon Laboratories Energy Harvesting Applications 160 3.5.6 Energy Harvesting Reference Design 160

3.6 LORD MicroStrain 161 3.6.1 Lord Smart Network Coordination 161 3.6.2 Lord Small Sensors. Big Data. 162 3.6.3 LORD MicroStrain wireless sensor networks (WSN) 162 3.6.4 LORD MicroStrain 163 3.6.5 Lord Oil and Gas Wireless Sensor Networks 164

3.7 MEMSIC's wireless Motes and sensors 165 3.8 IBM Smarter Planet 167




3.8.1 IBM Smarter Planet Systems Approach To Product And Systems Development ROI 168 3.8.2 IBM Mote Runner 169 3.8.3 IBM Mote Runner Software Development Kit 170 3.8.4 IBM Mote Runner High-Performance, Lowfoot Print Run-Time Platform 171 3.8.5 Semtech and IBM 174 3.8.6 IBM and Libelium Launch 6LoWPAN Development Platform for the Internet of Things 175 3.8.7 IBM / Libelium Smart World Infographic – Sensors for Smart Cities, Internet of Things 179 3.8.8 IBM and Libelium, A Wireless Sensor Network Hardware 179 3.8.9 IBM / MEMSIC 179 3.8.10 IBM SOAP M2M 181 3.8.11 IBM M2M Message Flows 181 3.8.12 IBM Integration Bus 182 3.8.13 IBM® Operational Decision Manager Automate And Govern Repeatable Decisions 183

3.9 Cisco Wireless Sensor Networks 184 3.9.1 Cisco Secure Wireless Plant: Security and Quality of Service for Industrial Environments 185 3.9.2 Cisco and Dust Networks 186 3.9.3 Cisco Using Sensor Networking Standards 187

3.10 Siemens Smart Meters 189 3.10.1 Siemens Smart Grid Priming Services Customized for Smart Grid Utility Solutions 190 3.10.2 Siemens Program Management 190 3.10.3 Siemens Smart Metering Solutions 191 3.10.4 Siemens Enhanced Distribution Management System 192 3.10.5 Siemens Information Model Manager (IMM) 192

3.11 Boeing 195 3.11.1 Boeing / Fujitsu RFID Tracking 196 3.11.2 Boeing and Fujitsu Use Radio Frequency ID Tags 198 3.11.3 Boeing Wireless Sensor Applications 199 3.11.4 Boeing Wireless Sensor Network Applications 200 3.11.5 Boeing / MicroStrain Synchronized Wireless Sensor Network for Landing Gear 204 3.11.6 Boeing 767 Aircraft Wireless Sensor Network Cabin Environment Sensor System 206

3.12 Rockwell Automation 206 3.12.1 Rockwell Supply Chain Automation 207 3.12.2 Rockwell Automation Wireless Sensors 207

3.13 Honeywell 207 3.13.1 Honeywell OneWireless Network Open System 208 3.13.2 Honeywell’s Multinodes and Cisco’s 1552S Aironet Access Points 208

EnOcean 209 EnOcean Link 210 EnOcean Faster development 211 EnOcean Link Fully Prepared Data 212 EnOcean Encrypted Decoding Gateway 213 EnOcean ECO 200 - Motion Energy Harvesting 214 EnOcean ECT 310 - Thermo Energy Harvesting 217 EnOcean Energy Harvesting Wireless Sensor Solutions 220 EnOcean Energy Harvesting Wireless Sensor Solutions 221 EnOcean Alliance Energy Harvesting Solutions 226 EnOcean-Enabled Wireless Networks 226 EnOcean Alliance 228

3.14 Freescale Semiconductor Inc., 232 3.15 Schneider Electric Lighting Control Solutions for Comprehensive Facility Energy Management234

3.15.1 Schneider Electric Lighting Control Systems 234 3.15.2 Schneider Electric / Invensys PLC. 235

3.16 Mitsubishi Electric 236 3.17 Conexant Systems, Inc. 236 3.18 Teledyne / Rockwell Scientific ... 236 3.19 Texas Instruments / National Semiconductor Corporation, LMX3162 Single Chip Radio 237 3.20 Analog Devices Wireless Vibration Sensing Network System 241




3.21 Silicon Labs Solutions For Energy Harvesting Systems 241 3.21.1 Silicon Labs Energy Harvesting Tipping Point for Wireless Sensor Applications 246 3.21.2 Silicon Laboratories Low-Power Optimization 247 3.21.3 Silicon Labs Solutions For Energy Harvesting Systems 248 3.21.4 Silicon Labs Minimizing The Amount Of Time The Radio Is On 249 3.21.5 Silicon Laboratories Managing Harvested Energy 250 3.21.6 Silicon Labs Ability To Power Wireless Sensor Nodes 254 3.21.7 Silicon Labs Powers Wireless Node with Energy Harvesting 254

3.22 Sensata Technologies 254

Semiconductor Wireless Sensor Network Technology

4. WIRELESS SENSOR NETWORK TECHNOLOGY 258 4.1 Libelium Video Camera Sensors 258

4.1.1 Libelium Technology 262 4.2 Millennial Net MeshScape™ Wireless Sensor Networking Software Platform 265 4.3 Wireless Sensor Network Architecture 271 4.4 Healthcare Wireless Cardiac Networking 272

4.4.1 Flexible Circuit Board 273 4.4.2 Wireless Heart-Monitoring Devices 275 4.4.3 Zigbee Retail 279 4.4.4 Zigbee Smart Energy 279 4.4.5 Zigbee Smart Apps: ZigBee Building Automation 282

4.5 E-Enabled Airplanes 283 4.5.1 Security Of Wireless Sensor Network Enabled Airplane Health 287

4.6 Wireless Network Standards 289 4.6.1 Zigbee Alliance 289 4.6.2 M2M 290 4.6.3 LXRS® PROTOCOL 291 4.6.4 WirelessHART (IEC62591) 292

4.7 Components of a WSN Node 295 4.7.1 Small Cells and LTE 297 4.7.2 Smart Antenna Systems 298

Semiconductor Wireless Sensor Network Company Profiles

This section selectively describes company strategies, partners, acquisitions, and revenue by segment and regional revenue when available. Companies are described by looking at what is most interesting about that company. The descriptions collectively give a sense of market directions within the industry segment. The alphabetical listing of company thumbnail sketches provides an accessible way to find out what is going on in any particular company. 5. WIRELESS SENSOR NETWORK COMPANY DESCRIPTION 300 5.1 Akamai 300

5.1.1 Akamai Balances Web Site Traffic 301 5.1.2 Akamai Revenue 301

5.2 Analog Devices 302 5.2.1 Analog Devices Revenue 304 5.2.2 Analog Devices MEMS Wireless Vibration Sensors 305

5.3 Conexant Systems 306 5.4 Dialog 306

5.4.1 Dialog Typical Cordless Telephony Applications 308 5.5 Freescale Semiconductor 310

5.5.1 Freescale Semiconductor Revenue 313 5.6 Fujitsu 313




5.6.1 Fujitsu Revenue 313 5.1.1 Fujitsu Technology Solutions Services 318 5.1.2 Fujitsu Corporate Strategy 318 5.1.3 Fujitsu Revenue 319 5.1.4 Fujitsu Interstage 320 5.1.5 Fujitsu Acquires RunMyProcess Cloud Service Provider 321

5.7 Gemalto 322 5.7.1 Gemalto Q3 2014 Results 322

5.8 Honeywell 323 5.8.1 Honeywell Revenue 324 5.8.2 Honeywell Aerospace 324 5.8.3 Honeywell Automation and Control Solutions 324 5.8.4 Honeywell Performance Materials and Technologies 325 5.8.5 Honeywell Transportation Systems 327 5.8.6 Honeywell 327 5.8.7 Honeywell Energy-Harvesting Sensing and Control 328

5.9 IBM 329 5.9.1 IBM Industry Analyst Perspective 330 5.9.2 IBM Strategy 331 5.9.3 IBM Revenue 333 5.9.4 IBM Q4 2013 Software 335 5.9.5 IBM Q4 2013 Services 335 5.9.6 IBM Q4 2013 Financing 336 5.9.7 IBM Q4 2013 Hardware 336 5.9.8 IBM Q4 Geographic Regions 336 5.9.9 IBM Q4 Growth Markets 337 5.9.10 IBM Full-Year 2013 Results 337 5.9.11 IBM Full-Year Geographic Regions 338 5.9.12 IBM Growth Markets 338 5.9.13 IBM Business Partners 339 5.9.14 IBM Messaging Extension for Web Application Pattern 341 5.9.15 IBM MobileFirst 341 5.9.16 IBM Analytics and Optimization Strategy 342 5.9.17 IBM Smarter Planet 342 5.9.18 IBM Cloud Computing 344 5.9.19 IBM Business Model 345 5.9.20 IBM Business Revenue Segments And Capabilities 345

5.10 Integrated Device Technology (IDT) 353 5.10.1 Integrated Device Technology, Inc. (IDT) Revenue 354 5.10.2 Integrated Device Technology, Inc. (IDT) Products 354

5.11 Invensys 356 5.11.1 Invensys Revenue 359 5.11.2 Invensys Offer From Schneider Electric S.A 360

5.12 Libelium 360 5.12.1 Libelium Wireless Sensor Network Platform 360 5.12.2 Libelium as Internet of Things Platform Provider 363 5.12.3 Libelium Vehicle Traffic Monitoring Platform 364 5.12.4 Libelium Waspmote Modular Platform 369

5.13 Linear Technology / Dust Networks 371 5.13.1 Dust Networks 371 5.13.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network 372 5.13.3 Dust Networks Applications 373 5.13.4 Linear Technology Revenue 374 5.13.5 Linear Technology Acquisitions 374 5.13.6 Linear Technology Products 375 5.13.7 Linear Technology 376

5.14 Lord 377 5.14.1 Lord Combining Multiple Sensors 378




5.14.2 Lord MicroStrain® Sensing Systems Quality & Innovation 379 5.14.3 Lord Revenue 379

5.15 Microsemi Corporation 379 5.15.1 Microsemi Customers 382 5.15.2 Microsemi Revenue 384 5.15.3 Microsemi / Zarlink Semiconductor 404

5.16 Millennial Net 404 5.17 Mitsubishi Electric 414 5.18 Northrop Grumman 415

5.18.1 Northrop Grumman Smart Grid 416 5.18.2 Northrop Grumman 417 5.18.3 Northrop Grumman Corp (NOC.N) Spinning Off Or Selling Its Shipbuilding Business 418 5.18.4 Northrop Grumman Remotec Robots 418 5.18.5 Northrop Grumman Opens New Facilities for Design and Manufacture of Unmanned Ground Vehicles in Coventry 419 5.18.6 Northrop Grumman Business Sectors: 421 5.18.7 Northrop Grumman Aerospace Systems 424

5.19 OMRON 426 5.19.1 Omron Revenue 426

5.20 Renesas 428 5.20.1 Renesas Electronics Partners and Customers 431

5.21 Rockwell Automation 452 5.21.1 Rockwell Automation Acquires vMonitor 452 5.21.2 Rockwell Automation / VMonitor Wireless Sensors 453

5.22 Schneider Electric 453 5.22.1 Schneider Electric 454 5.22.2 Schneider Electric Vision Smart Grid: 454 5.22.3 Schneider Electric Triggers of the Smart Grid 456 5.22.4 Schneider Electric Revenue 458 5.22.5 Smart Grid: Schneider Electric Vision 459 5.22.6 Schneider Electric Triggers of the Smart Grid 460 5.22.7 Schneider Electric / Invensys 461 5.22.8 Schneider Electric / Invensys Revenue 464 5.22.9 Schneider Electric / Invensys Offer From Schneider Electric S.A 464

5.23 Semtech 464 5.23.1 Semtech / Gennum 465 5.23.2 Semtech / Cycleo SAS 466 5.23.3 Semtech Revenue 466

5.24 Sensata Technologies 466 5.24.1 Sensata Technologies Acquires Wabash Technologies 467 5.24.2 Sensata Technologies Revenue 467

5.25 Silicon Labs 468 5.25.1 Silicon Laboratories Energy Harvesting Applications 470 5.25.2 Silicon Laboratories Products 473

5.26 Texas Instruments 477 5.26.1 Texas Instruments Revenue 477

5.27 Zigbee Standard 477 5.27.1 ZigBee Gateway 478

5.28 Z-wave 480 5.29 Wireless Sensor Network WSN Selected Company List 483 WINTERGREEN RESEARCH, 489 WinterGreen Research Methodology 490

List of Tables and Figures Table ES-1 31 Wireless Sensor Networking Market Driving Forces 31




Table ES-2 33 Wireless Sensor Networking Technology Uses 33 Table ES-3 34 Wireless Sensor Networks Market Factors 34 Figure ES-4 36 Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013 36 Figure ES-5 38 Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020 38 Figure 1-1 40 Wireless Sensor Network Market Segments 40 Figure 1-2 41 Global Spectrum Allocation 41 Figure 1-3 43 4G Deployment Aspects 43 Table 1-4 43 Types of Wireless Sensor Networks (WSN) 43 Table 1-5 46 Characteristics Of A Wireless Sensor Network (WSN) 46 Table 1-6 51 Wireless Sensor Network Data Center Benefits: 51 Table 1-7 51 Wireless Sensor Network Data Center Functions: 51 Table 1-8 52 Wireless Sensor Network Data Center Features 52 Table 1-9 53 Wireless Sensor Network Data Center Challenges: 53 Table 1-10 54 Wireless Sensor Network Applications and Benefits 54 Table 2-1 56 Wireless Sensor Networking Market Driving Forces 56 Table 2-2 58 Wireless Sensor Networking Technology Uses 58 Table 2-3 59 Wireless Sensor Networks Market Factors 59 Figure 2-4 61 Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013 61 Table 2-5 62 Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013 62 Figure 2-6 68 Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020 68 Table 2-7 69 Semiconductor Wireless Sensor Networks Market Forecasts, Worldwide, 2014-2020 70




Table 2-8 70 Semiconductor Wireless Sensor Network Market Segments, Dollars, Worldwide, 2014-2020 71 Table 2-9 72 Semiconductor Wireless Sensor Network Market Segments, Percent, Worldwide, 2014-2020 72 Table 2-10 73 Semiconductor Wireless Sensor Network Market Forecasts, Dollars and Units, Worldwide, 2014-2020 73 Figure 2-11 74 Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts, Dollars, Worldwide, 2014-2020 74 Figure 2-12 75 Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments Market Forecasts, Worldwide, Dollars, 2014-2020 76 Figure 2-13 77 Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts, Dollars, Worldwide, 2014-2020 77 Figure 2-14 79 Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts, Worldwide, 2014-2020 79 Figure 2-15 81 Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments Market Forecasts, Dollars, Worldwide, 2014-2020 81 Figure 2-16 82 Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks Market Forecasts Dollars, Worldwide, 2014-2020 82 Table 2-17 84 OEM Wireless Sensor Network Embedded Product Market Shares Dollars, Worldwide, 2013 84 Figure 2-18 88 Wireless Sensor Networks Generate Zettabytes of Data 88 Figure 2-19 91 Wireless Sensor Network Regional Market Segments, 2013 91 Table 2-20 93 Wireless Sensor Network Regional Market Segments, 2013 93 Figure 3-1 95 Renesas Electronics Wireless Sensor Network Semiconductors 95 Figure 3-2 96 Renesas Electronics Semiconductor Smart Building Solutions For Key Embedded System Applications 96 Figure 3-3 100 Renesas Wireless Sensor Network Semiconductor Technical Capabilities 100 Table 3-4 103 Renesas Addresses Semiconductor Rapid Pace Of Change 103




Table 3-5 104 Renesas Wireless Sensor Network Technologies 104 Figure 3-6 104 Renesas Analog Front End Brings The Sensor and Microcontroller Together 104 Table 3-7 106 Renesas Smart Analog Technology Benefits 106 Figure 3-8 107 Renesas Smart Analog Technology 107 Figure 3-9 108 Renesas Reduces Overall Design Lead Time 108 Figure 3-10 109 Renesas Low-power, Small Footprint Hardware Platform 109 Table 3-11 110 Renesas Smart Analog Technology 110 Figure 3-12 110 Renesas Practical Example of Field Programmability (Light Sensor) 111

111 Figure 3-13 112 Renesas Applications for BAN in Healthcare, Automotive, Commerce And Security 112 Figure 3-14 114 Renesas Visible Light Communication Techniques 115 Table 3-15 117 Renesas Common Automotive Technologies 117 Table 3-16 120 Selected Renesas Automotive Wireless Sensor Network Components 120 Table 3-16 (Continued) 121 Selected Renesas Automotive Wireless Sensor Network Components 122 Figure 3-17 124 Linear Technology Application Areas 124




Table 3-18 126 Linear Technology / Dust Networks Benefits of Wireless Sensor Networks, (WSN) For Data Center Energy Management: 126 Figure 3-19 127 Linear Technology / Dust Networks Wireless Sensor Network Mission Critical Operations 128 Figure 3-20 128 Linear Technology / Dust Networks Wireless Sensor Network Target Markets 128 Figure 3-21 129 Linear Technology / Dust Networks LTC 129 Table 3-22 132 Dust Networks Portfolio Of Standards-Based Products 132 Table 3-23 134 Dust Networks Eterna Features 134 Table 3-24 135 Dust Networks Dynamic Network Optimization Functions 135 Figure 3-25 136 Linear Technology / Dust Networks SmartMesh IP Solution 136 Figure 3-26 138 Libelium Waspmote Wireless Sensor Network Platform 138 Figure 3-27 139 Libelium Night Vision Mode 139 Table 3-28 141 Libelium Video Camera Sensor Nodes Key Features: 141 Figure 3-29 143 Libelium Wireless Sensor Networks 143 Table 3-30 146 Libelium Waspmote and Meshlium Configurations: 146 Table 3-31 148 Microsemi Commercial Aviation Solutions 148 Figur3-32 151 Microsemi Wireless Sensor Networks 151 Table 3-33 153 Silicon Labs Wireless Sensor Network Applications 153 Figure 3-34 154 Silicon Labs OSI Model 154 Figure 3-35 156 Silicon Labs OSI Model 156 Table 3-36 158 Silicon Labs Wireless Sensor Network WSNs Benefits 158 Figure 3-37 159 Silicon Laboratories Energy Harvesting Components 159 Figure 3-38 160 Silicon Laboratories 160




Figure 3-39 166 MEMSIC Wireless Sensor Network Technology 166 Figure 3-40 168 Wireless Sensor Networks Smarter Planet systems approach Savings 168 Figure 3-41 169 IBM Smarter Planet Initiatives 169 Figure 3-42 172 IBM Mote Runner Challenges Addressed 172 Figure 3-43 173 IBM Mote Runner Challenges Advantages 173 Figure 3-44 176 Libelium Waspmote Wireless Sensor Network Platform 176 Figure 3-45 178 Libelium Waspmote Wireless Sensor Platform Components 178 Table 3-46 184 IBM® Operational Decision Manager 184 Table 3-47 186 Cisco Wireless Sensor Networks Uses 186 Figure 3-48 189 Microsemi Corporation Supports Siemens 189 Table 3-49 193 Siemens Spectrum Power IMM Key Benefits 193 Figure 3-50 194




Siemens Spectrum Power IMM

195 Table 3-51 200 Boeing Energy Harvesting Development Programs Functions 200 Figure 3-52 201 Boeing Wireless Sensor Aircraft Applications 201 Figure 3-53 203 Broadband Energy Harvester (Boeing ) 203 Figure 3-54 204 Broadband Wireless Sensor Network (Boeing ) 204 Figure 3-55 210 EnOcean Middleware For Energy Harvesting 210 Figure 3-56 214 EnOcean ECO 200 - Motion Energy Harvesting 214 Table 3-57 215 EnOcean ECO 200 - Motion Energy Harvesting 215 Figure 3-58 216 EnOcean ECO 100 - Motion Energy Harvesting 216 Table 3-59 217 EnOcean Energy Harvesting Motion Converter 217




Table 3-60 217 EnOcean ECT 310 Perpetuum 217 Table 3-61 218 EnOcean Thermo Converter 218 Table 3-62 219 EnOcean Energy Converters For Energy Harvesting Wireless Applications 219 Figure 3-63 221 EnOcean-Enabled Wireless Sensor Networks 221 Table 3-64 227 EnOcean Alliance Energy Harvesting Solutions Advantages 227 Table 3-65 229 EnOcean Energy Harvesting Sources 229 Figure 3-66 230 EnOcean Energy Harvesting Wireless Sensor Technology 230 Figure 3-67 231 EnOcean Energy Harvesting Wireless Sensor Devices 231 Figure 3-68 235 Schneider Electric Energy Harvesting 235 Figure 3-69 237 Texas Instruments Smart Grid Solutions 237 Figure 3-70 238 Texas Instruments Semiconductor Wireless Sensor Networks Markets 238 Figure 3-71 240 Texas Instruments Industrial Communications Automation Networks 240 Table 3-72 242 Silicon Labs Solutions For Energy Harvesting Applications 242 Table 3-73 243 Silicon Labs Solutions For Energy Harvesting Solutions 243 Table 3-74 244 Silicon Labs Solutions For Energy Harvesting Systems 244 Figure 3-75 247 Silicon Laboratories Wireless Sensor Node Power Cycle 247 Figure 3-76 251 Silicon Labs Solutions For Energy Harvesting Systems 251 Figure 4-1 259 Libelium Video Camera Sensors 259 Fiigure 4-2 260 Libelium Security Device Takes Pictures In Total Darkness 260 Table 4-3 261 Libelium Security Device Key Features: 261 Table 4-4 262 Libelium Night Vision Key Features: 262




Figure 4-5 263 Libelium Waspmote Technology 263 Table 4-6 265 Wireless Sensor Networking Technology Benefits 265 Table 4-7 267 Millennial Net Wireless Sensor Networking Protocol Responsive Functions 267 Table 4-8 268 Millennial Net Wireless Sensor Networking Protocol Reliability Functions 268 Table 4-9 269 Millennial Net Wireless Sensor Networking Protocol Power Efficient Functions 269 Table 4-10 270 Millennial Net Wireless Sensor Networking Protocol Functions 270 Figure 4-11 271 Wireless Sensor Network Architecture 271 Figure 4-12 273 Wireless Autonomous Transducer electrocardiogram Solution 273 Table 4-13 284 Wireless Sensor Networking Technology Uses 284 Table 4-14 285 Wireless Sensor Networking E-Enabled Airplane Benefits 285 Table 4-15 286 Wireless Sensor Networking E-Enabled Airplane Functions 286 Figure 4-16 287 Security Of Wireless Sensor Network Enabled Airplane Health Monitoring 287 Figure 4-17 291 LXRS® Wireless Protocol 291 Figure 4-18 292 WirelessHART (IEC62591) 292 Table 5-1 303 Analog Devices Target Markets 303 Figure 5-2 307 Dialog's short range wireless technology 307 Figure 5-3 315 Fujitsu Core Technologies for Advanced ICT, 2013 and 2023 315 Figure 5-4 316 Fujitsu Focus on Innovation 316 Table 5-5 329 Honeywell Energy-Harvesting Sensing and Control 329 Table 5-6 355 IDT Product Set 355 Figure 5-7 357 Invensys Software and Industrial Automation Target Markets 357




Figure 5-8 358 Invensys Energy Controls and Appliance Target Markets 358 Figure 5-9 361 Libelium Waspmote Open-Source Wireless Sensor Platform 361 Figure 5-10 362 Libelium Customers 362 Figure 5-11 363 Libelium as Internet of Things Platform Provider 363 Figure 5-12 365 Libelium Vehicle Platform Allows Real Time Systems For Monitoring Traffic 365 Figure 5-13 368 Libelium Wireless Sensor Network Vehicle Platform 368 Figure 5-14 370 Libelium Awards 370 Figure 5-15 380 Microsemi Revenue and Positioning 381 Figure 5-16 382 Microsemi Customers 382 Figure 5-17 383 Microsemi Market Focus 383 Figure 5-18 385 Microsemi Communications Market 385 Figure 5-19 387 Microsemi World Class Timing 387 Figure 5-20 388 Microsemi Aerospace Market 388 Figure 5-21 389 Microsemi Aerospace Annual Deliveries 389 Figure 5-22 390 Microsemi World Class Avionics 390 Figure 5-23 391 Microsemi World Class Satellite Launches 391 Figure 5-24 392 Microsemi World Class Satellite Solutions 393 Figure 5-25 393 Microsemi Corporation View of Growth Drivers in Space 394 Figure 5-26 395 Microsemi Defense and Security Market 395 Figure 5-27 396 Microsemi Key Defense and Security Market Drivers 396 Figure 5-28 397 Microsemi World Class Industrial Espionage and National Security Positioning 397




Figure 5-29 398 Microsemi Defense and Security Market TAM & SAM 398 Figure 5-30 399 Microsemi World Class Satellite Launches 399 Figure 5-31 400 Microsemi Industrial Market Subsegment Growth Rates 400 Figure 5-32 401 Microsemi Industrial Deployment Examples 401 Figure 5-33 402 Microsemi Industrial Market Customers 402 Figure 5-34 403 Microsemi Defense and Security Market 403 Figure 5-35 404 Millennial Net Customers 404 Table 5-36 429 Renesas Electronics Product Categories 429 Figure 5-37 429 Renesas Positioning As Trustworthy Partner Able To Meet Customer Needs Worldwide 429 Figure 5-38 431 Renesas Electronics Partners and Customers 431 Figure 5-39 444 Renesas Revenue Summary 444 Figure 5-40 444 Renesas Quarterly Revenue Summary 444 Figure 5-41 446 Renesas Semiconductor Revenue Summary 446 Figure 5-42 447 Renesas Trends in Revenue Summary 447 Figure 5-43 448 Renesas Major Factors Affecting Semiconductor Sales Summary 448 Figure 5-44 449 Renesas Revenue Segment Summary 449 Figure 5-45 450 Renesas Segment and Subsegment Revenue Summary 450 Figure 5-46 451 Renesas Major Factors Affecting Semiconductor Revenue Summary 451 Figure 5-47 455 Schneider Energy Value Chain: 455 Table 5-48 457 Schneider Electric Triggers Innovation For the Smart Grid 457 Figure 5-49 458 Schneider Electric Revenue 458




Figure 5-50 459 Schneider Energy Value Chain 459 Table 5-51 461 Schneider Electric Triggers of the Smart Grid 461 Figure 5-52 462 Invensys Software and Industrial Automation Target Markets 462 Figure 5-53 462 Invensys Energy Controls and Appliance Target Markets 463 Figure 5-54 467 Sensata Technologies Revenue Mix 467 Figure 5-55 471 Silicon Laboratories Revenue 471 Table 5-56 474 Silicon Laboratories Product Functions 474 Table 5-57 475 Silicon Laboratories Product Areas and Description 475 Figure 5-58 479 Zigbee Selected Alliance Members 479 Table 5-59 481 Z-Wave device Benefits 481 Table 5-60 482 Z-Wave Home Control Functions 482

ABOUT THE COMPANY

WinterGreen Research, research strategy relates to identifying market trends through reading and interviewing opinion leaders. By using analysis of published materials, interview material, private research, detailed research, social network materials, blogs, and electronic analytics, the market size, shares, and trends are identified. Analysis of the published materials and interviews permits WinterGreen Research senior analysts to learn a lot more about markets. Discovering, tracking, and thinking




about market trends is a high priority at WinterGreen Research. As with all research, the value proposition for competitive analysis comes from intellectual input.

WinterGreen Research, founded in 1985, provides strategic market assessments in telecommunications, communications equipment, health care, Software, Internet, Energy Generation, Energy Storage, Renewable energy, and advanced computer technology.

Industry reports focus on opportunities that expand existing markets or develop major new markets. The reports access new product and service positioning strategies, new and evolving technologies, and technological impact on products, services, and markets. Innovation that drives markets is explored. Market shares are provided. Leading market participants are profiled, and their marketing strategies, acquisitions, and strategic alliances are discussed. The principals of WinterGreen Research have been involved in analysis and forecasting of international business opportunities in telecommunications and advanced computer technology markets for over 30 years.

The studies provide primary analytical insight about the market participants. By publishing material relevant to the positioning of each company, readers can look at the basis for analysis. By providing descriptions of each major participant in the market, the reader is not dependent on analyst assumptions, the information backing the assumptions is provided, permitting readers to examine the basis for the conclusions.

About The Principal Authors

Ellen T. Curtiss, Technical Director, co-founder of WinterGreen Research, conducts strategic and market assessments in technology-based industries. Previously she was a member of the staff of Arthur D. Little, Inc., for 23 years, most recently as Vice President of Arthur D. Little Decision Resources, specializing in strategic planning and market development services. She is a graduate of Boston University and the Program for Management Development at Harvard Graduate School of Business Administration. She is the author of recent studies on worldwide telecommunications markets, the top ten internet equipment companies, the top ten contract manufacturing companies, and the Top Ten Telecommunications market analysis and forecasts.

Susan Eustis, President, co-founder of WinterGreen Research is a senior analyst. She has done research in communications and computer markets and applications. She holds several patents in microcomputing and parallel processing. She has the original patents in electronic voting machines where she was featured in People Magazine in 1976. She has new patent applications in format varying, mulitprocessing, and electronic voting. She is the author of recent studies of the Solar Renewable Energy, Wind Energy, Thin Film Batteries, Business Process Management marketing strategies, Internet equipment, biometrics, a study of Internet Equipment, Worldwide Telecommunications Equipment, Top Ten Telecommunications, Digital Loop Carrier, Web Hosting, Web Services, and Application Integration markets. Ms. Eustis is a graduate of Barnard College. Susan Eustis was named as top female executive of the year by Who’s Who Worldwide in 2012. She was named page one of the top 100 Industry leaders in Who’s Who in 2013.

semiconductor wireless sensor internet of things (iot

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