encroachment and advancement of iot - dell€¦ · 4. next-gen business with iot: gaining...

ENCROACHMENT ANDADVANCEMENT OF IOT

Varuni RvAssociate Sales Engineer Analyst Dell [email protected]

Knowledge Sharing Article © 2018 Dell Inc. or its subsidiaries.

2018 Dell EMC Proven Professional Knowledge Sharing 2

Table of Contents Abstract ......................................................................................................................................................... 3

Introduction .................................................................................................................................................. 3

Applications Explained .................................................................................................................................. 4

A Dose of IoT to Boost Medicare system .................................................................................................. 4

Technologies Involved........................................................................................................................... 4

Hospital System Framework ................................................................................................................. 4

Use case Scenario.................................................................................................................................. 5

Future Enhancement ............................................................................................................................ 6

Cultural Heritage Meets IoT ...................................................................................................................... 6

Technologies Used ................................................................................................................................ 6

Museum as an IoT system ..................................................................................................................... 6

Future Enhancements ........................................................................................................................... 7

IoT Farm Beats .......................................................................................................................................... 7

Challenges Faced ................................................................................................................................... 7

Implied Technologies ............................................................................................................................ 8

A Workframe ......................................................................................................................................... 8

Scenario Example .................................................................................................................................. 9

Future work ........................................................................................................................................... 9

Next Gen business with IoT..................................................................................................................... 10

Terminologies of Technologies ........................................................................................................... 10

Target-based Marketing System with IoT ........................................................................................... 10

Flow chart with example ......................................................................................................................... 11

Future Enhancements ......................................................................................................................... 12

IoT, The Virtual Traffic Manager ............................................................................................................. 12

Technologies ....................................................................................................................................... 12

Functioning System of Smart Traffic Management ............................................................................ 12

Sample Smart Signal Working Algorithm ............................................................................................ 13

Functioning System of Smart Parking ................................................................................................. 14

Future Work ........................................................................................................................................ 15

Conclusion ................................................................................................................................................... 15

Bibliography ................................................................................................................................................ 16

Disclaimer: The views, processes or methodologies published in this article are those of the author. They

do not necessarily reflect Dell EMC’s views, processes or methodologies.


Abstract

Internet of Things (IoT) takes advantage of human dependency on automations by connecting people

with “Things” for better interaction between them over a network; hence the name. IoT can be

implemented in every field imaginable. However, this paper is an attempt to bring out the beauty of IoT

in fields that are interesting as well as fields that are sensitive and need improvement to ease the

common problems faced by individuals in daily life.

Topics examined in this paper include:

1. A Dose of IoT to boost Medicare system: Healthcare is a mission- critical field that cannot be

ignored as it directly deals with saving lives. IoT can be incorporated to improvise service by

building smart hospitals and sophisticated medical equipment that continuously monitor and

report health condition of patients.

2. Cultural Heritage meets IoT: The place that is known to preserve a country’s culture and

heritage even when the outside world is changing rapidly is “The Museum”. A magical touch of

IoT can enhance the visitor experience in taking a deeper dive into the colorful representation of

antics through sensors and self-explanatory devices that provide detailed insights of an artifact

that the visitor is looking at.

3. IoT Farm Beats: Food is a basic necessity of life and agriculture is the base. It’s fascinating how

agricultural production can be amplified through smart farming. Cultivation depends on various

nature-related facts like soil, rain, nutrients, etc. With IoT, predicting soil health, rain cycles and

various other parameters can help enhance the capability of a piece of land to produce better

quality crops.

4. Next-Gen business with IoT: Gaining popularity results in a successful business and there is no

better way of gaining people’s attention than advertising a product. IoT, along with geo-tagging

technology, enables targeting the right crowd that are likely to buy the products.

5. IoT, The Virtual Traffic Manager: With time being a critical constraint, reaching a destination on

time is a challenge in ever growing traffic congestion and finding a parking space for your vehicle

is an even bigger problem. IoT can help automate traffic signal duration based on traffic flow in

each direction thus managing the traffic flow efficiently and with obstacle detection sensors

bundled with GPRS network together can put an end to hunting for a parking space.

Introduction

IoT is having a great impact on many fields and in many industries. IoT, when integrated with other

technologies based on requirement can come out with a wide variety of applications. This paper will

combine bits and pieces of technologies analyzed and interpreted by various authors regarding each of

the chosen fields to put forth an idea on how these technologies work hand in hand in building a fully

functional system. Smart hospitals are made up of data collection devices, reporting and monitoring,

wearable equipment, data security and more. Various technologies used and interaction among them

are briefly explained [1] and [2] along with security parameters [3], and a few applications [4].

Technology networks and interaction among them used for smart museums [5] & [6]. Smart farming

involves prediction of various environmental factors and alerting and making suggestions to farmers

through use of various sensors and communication systems [7], [8] and a few of its application examples


[9]. Smart advertising along with terminologies and working explained [10] & [11] based on location

[12], social network data analysis /behavioral data [13] & [14] through geo fencing infrastructure [15].

Smart traffic management technologies, how they work [16], [17] and smart parking technology

implementation [18], [19] & [20].

Applications Explained

A Dose of IoT to Boost Medicare system

Hospital services are supposed to be quick, secure and accurate. With IoT, this can be easily achieved.

The flow of this layout is: technologies used, work flow and a use case example to help the reader relate

to the concept better and possible future enhancement.

Technologies Involved

A. RFID Tags and interrogator: Every device that is part of an IoT network will have a Radio Frequency

Identification (RFID) tag that contains electrically stored information for locating it. Interrogator is

used as the communication medium between RFID tag and centralized backend data store.

B. Sensors: Sensors are electronic devices that are used to detect changes in an embedded

environment and report or initiate necessary action based on what purpose they are programmed

for.

C. Wireless Communication: The invisible channel of communication between virtually connected

devices for quick secure interaction between devices of a network.

D. Centralized Data Store: This is also called as sink; data from different devices are stored in

centralized location for quick access.

E. Medical Equipment: These are the devices used in a hospital environment for diagnosing and

treating patients which are part of the IoT network and contain RFID tags.

Hospital System Framework

It is always important to maintain identity and qualification information of every staff working in the

hospital be it doctor, nurse, receptionist, etc. The initial procedure of collecting information and patient

diagnosis is typically slow and time-consuming taking and slow. Automated displays can be set up where

a can patient input identity information, symptoms and description of the ailment. Based on pre-fed

instructions, doctor qualification and available time to meet a specific doctor the system will

recommend a few related tests. After these test results are sent back to the data store, the system will

diagnose the disease, and set an appointment with a specialist based on test results and doctor schedule

which is frequently synced with the system from the centralized data store for the patient to be treated

by doctor. During treatment, the doctor feeds the medical condition and treatment details into the

patient’s profile for future references.

Each piece of medical equipment will have a RFID tag which is linked to the sink through interrogator

and wireless communication. During patient treatment, the readings in the equipment are automatically


sent to sink to avoid human error during manual entry. Sensors embedded medical equipment detect

abnormalities in readings and this is immediately reported to the doctor through alerts in smartphone

or dedicated tablet provided for use by doctors in hospitals through smart apps. Further automation can

also enable automatic action to be initiated (explained in use case example). The stored details of the

patient can be accessed when the patient returns for a regular checkup cycle. Below is a high level

depiction of the system.

Fig 1a: High level workflow representation of hospital system.

Use case Scenario

Patient X inputs his identification details and symptoms and medical ailments such as tiredness, blurred

vision, etc. System is pre-fed with medical conditions and recommended tests based on symptoms given

as input by user. The system diagnoses and suggests insulin test and BP test as these are common

symptoms of both. This data is stored into a centralized data sink which also has information about

identity, availability and qualification of doctors. Once the patient X blood sugar test and BP test arrive,

these reports are also fed into data store. Automated software based on report diagnoses patient X with

diabetes and issues an appointment with a doctor who specializes in diabetes based on doctor

information stored. Following treatment, patient X is provided with a wearable device which has a RFID

tag, attached to the patient’s body with insulin sensor that periodically checks the insulin level in patient

blood. When injector is refilled with insulin, it’s injected automatically into patient’s body whenever

there is insulin level drop and the report is shared with centralized data sink with interrogator. These

data are secured with several encryption algorithms to maintain confidentiality. When patient revisits

for checkup, doctor retrieves the patient data from patient profile to get the latest medical condition

update for further medication if necessary.


Future Enhancement

This system can be improved to minimize human intervention further to avoid errors as these are

mission critical applications that directly deal with human life. This system will alert the doctors when a

patient is facing abnormalities for quick treatment.

Cultural Heritage Meets IoT

With modernization, movies, music, gaming, etc. are increasing in popularity. Who would want to visit

the museum standing in front of each artifact reading the lengthy descriptions or hire a guide to provide

not so accurate information? IoT can convert boring museums into interesting cultural centers that

engage visitors by incorporating smart technologies. Let’s explore technologies used, museum as a

working system, and future enhancement.

Technologies Used

A. Cloud: Cloud technology is used to provide storage that can be accessed remotely using internet.

B. Wearable Device: Any device that is wearable and has some specific functionalities based on the

purpose of its development.

C. Wi-Fi: Connects all devices with use of internet to facilitate wireless communication among them.

D. Bluetooth: Used as a mode of pairing among various devices

Museum as an IoT system

Every artifact that is part of the museum is assigned a unique RFID tag. Museum authorities populate

information regarding each artifact specific to their respective unique RFID tag into cloud. This

information may be audio, video or images. Every visitor is provided with a wearable device and a tablet

with a museum-specific app. The function of this wearable device would be to connect to the cloud and

smartphone and fetch artifact specific information from the cloud. Audio would play through the

wearable device through head phones and connected with Bluetooth. Video and images are displayed in

tablet in sync with audio. Sensors to capture location are distributed throughout the museum close to

every artifact. When the visitor steps into the proximity of an artifact, the sensor of that artifact detects

the presence and connects to the wearable device via the museum’s Wi-Fi. This device in turn connects

to tablet over Bluetooth to narrate the history of artifact that is fetched from the cloud. The RFID tag

identifies what piece of information is to be fetched from the cloud to deliver it to the user standing at a

particular location. When new discoveries are made about an artifact, the information can be added into

the cloud to maintain the latest information for visitors. A pictorial representation of how the system

works is shown below.


Fig 2a: Smart Museum Working Model

As depicted above, each artifact can narrate its own story based on information stored in the cloud thus

enhancing visitor’s experience of museum.

Future Enhancements

Future work can be towards hologram projection narrating the artifacts’ history visually like a virtual

movie which will provide more realistic details enhancing visitor’s imagination and knowledge.

IoT Farm Beats

Agriculture and farmers are often the neglected factors of a country. Agriculture is a primary source of

food which is why advancement of the same is of great importance. “Smart” technology IoT can be

incorporated in cultivation to achieve smart farming. The following sections explore challenges faced,

technologies used, workflow, a use case example and future enhancement.

Challenges Faced

A. Unpredictable climatic changes

B. Farmers’ lack of knowledge

C. Pesticides and infection attack in crops

D. Intruders, i.e animals destroying crops

E. Ineffective utilization of irrigation

Let’s examine each of these challenges.


Implied Technologies

A. Sensors: Integrated chips that monitor environments and report changes. Here, sensors to detect

environmental changes are used.

B. ES system: Pre-fed intelligent system that provides recommendations and suggestions based on

input.

C. Software application: Agriculture-specific smartphone app to receive alerts and notifications.

A Workframe

Various sensors are distributed across the farm to detect and report the change in parameters with

constant monitoring. A few such sensors along with their function are listed below:

A. Location sensor: Used to define the location and boundary of the farm, to provide accurate location

specific information.

Fig 3a: Location sensor boundary

B. PIR Sensor: Detects any passing object by recording the change in temperature and production of

heat.

Fig 3b: PIR Sensor

C. Soil Sensor: Used to determine nutrition, moisture of soil.

Fig 3c: Soil sensor

An expert system is populated with various information regarding soil health, crops suitable for

particular type of soil, pests and solution to get rid of it, fertilizer types available, etc. All sensors present

in the farm are connected to this ES, and they send detected data periodically to this ES system. Based

on the input received and stored knowledge, ES sends recommendations, alerts and advisories to the

land owner phone through a smartphone application integrated with the ES system. This cycle helps

enlighten the farmer about his own farm. Soil sensors detect humidity and chemical formation of the


soil and send it to ES. Analysis of the chemical formation data from the knowledge database suggests to

the farmer which crop would yield high if grown in this type of soil and also alerts the farmer to water

crops when soil dryness is detected. This chemical composition information of soil is also an input to

determine the right fertilizer to enhance soil health. If an animal intrudes on the farm, PIR detector

senses the movement through detection of heat generation and alerts the farmer instantly. UV rays can

be used to detect the ripeness of crops and right time to harvest. System workflow representation is

shown below. (Figure 3d)

Fig 3d: IoT in farming

Many IoT devices put together work wonders as shown above in educating the farmer about various

factors that affect crop yield.

Scenario Example

Farmer X adopts IoT in his farming. Based on sensor details, ES interprets that soil is rich is nitrogen but

lacks in phosphate. ES, based on knowledge stored, recommends X to grow wheat crop which requires

nitrogen and also recommends phosphate-rich fertilizer to increase the yield efficiently. Once the seeds

are sown, when soil loses moisture, ES alerts farmer to water the crops based on water level required

for wheat crop. ES also recommends possible pest attacks on wheat crop and the right pesticide to get

rid of it. All of this information helps farmer X determine the right crop suitable for the soil up to and

including suggesting the right time to harvest crops.

Future work

The direction of advancement will shift from just alerting the farmer to taking automated actions that

will avoid delay in taking necessary steps to minimize human effort and errors.


Next Gen business with IoT

Marketing involves cost and identifying those who are likely to be customers instead of advertising to

everyone is the most cost effective way to reach them. This section outlays the technology, procedure

and an example to make it simple and understandable.

Terminologies of technologies

A. Social Media: Simply described, a platform for people to connect with each other and express

opinions, likes and preferences.

B. GPS: Global Positioning System is a network of satellites that send their exact position to GPS

Receivers on earth which calculate the accuracy, speed of object.

C. Geo Fencing: The virtual boundary set up by GPS to initiate an action when a RFID tagged or

Bluetooth connected device enters this boundary.

D. Data Mining: The process of tracking and filtering log data of transactions or other internet-related

activities for analysis.

Target-based Marketing System with IoT

People tend to discuss their likes, dislikes and interests over social media. They also research online in

browsers regarding what interests them. This data can be accessed and filtered through data mining

algorithms to analyze the search pattern otherwise known as behavioral data. This procedure helps in

determining what topic or product is popular based on common data. This data will be stored in a

database for future use. Marketers can analyze this data to determine who might be interested in

buying their product or can customize and improve the product based on expectations expressed by

people thus increasing the chances of good business. When a user logs into the browser, a customized

advertisement of the product will be displayed based on recent behavioral data collected and stored in

the database.

Another way to improve business would be to attract people for shopping who happen to pass a nearby

retail outlet. This can be achieved through geo fencing. A retailer will set up a virtual boundary of a

certain radius around their retail outlet using GPS system and satellites that define the size and

boundary. The advertising type can be classified into 3 types based on how it is initiated:

A. Push Advertising

Based on behavioral data and availability of the product in a retail shop, when a consumer enters a geo

boundary, a customized ad regarding a product of interest along with any offers the retailer may provide

would appear on the consumer’s smartphone. The recipient can choose to opt for the offer or reject it.

This type of notification – called push – is initiated by seller.

B. Pull Advertising

Consumers who voluntarily opt for notification of best offers through a wish list of their favorite

products would receive a notification when the product is available in near proximity of geo fencing of

any retail shop that sells this product. This type of notification is called Pull request as the consumer

specifically requested it.


C. Initiative Advertising

This works when other home appliances also have IoT features and are interconnected. When some

product is emptied, it will send reminder to the owner when he enters a geo fence of some supermarket

that sells this product.

In the section below, the flowchart provides a descriptive example with respect to each of the above

mentioned advertising methods.

Flow chart with example

Figure 4a below depicts three types of users, a supermarket with geo fencing and a database that

contains behavioral data.

Fig 4a: IoT-based marketing

Scenario 1: User1 is active on social media and browsing. U1 recently searched online for a sofa set.

This data is captured through data mining and stored in a database. U1 enters geo fencing of

supermarket X which has a furniture section. Based on behavioral data of U1, an ad for sofa sets with

exciting offers are sent to the user’s smartphone along with information on the distance to the

supermarket from current location based on GPS. This is called “Push Advertising”.

Scenario 2: User2 has an app which is integrated with GPS to add list of items as favorites or as

requirements and subscribes to be notified when products listed are in near proximity during his travel.


When U2 enters geo fence of supermarket, a few items listed in the app are sold by the supermarket X.

Based on his subscription, the user receives notification of product availability with location.

Scenario 3: User3 has a smart fridge at home connected with a smartphone app. Smart fridge has a

sensor in the vegetable section that detects when the vegetable compartment is empty. When U3

enters geo fence of supermarket X, there is a pop up reminder to buy vegetables as the vegetable cart is

empty in the smart fridge and it is sold in supermarket X. (Technology similar to this is already

implemented by Amazon via its Dash button. When the Dash button is pressed, an order for a pre-

defined set of products is placed with Amazon https://www.cnet.com/news/appliance-science-how-the-

amazon-dash-button-works/ )

These examples demonstrate how IoT proves to be a business booster by enabling innovative

advertising techniques to attract more customers and expand business.

Future Enhancements

The improvement in target-specific advertisement would be to advertise products that can be used as

an add-on to the product that the customer is looking for. If a customer is looking for a cot, a bed,

bedspread and pillows can also be advertised thus increasing the possibility of a customer buying all of

them together.

IoT, The Virtual Traffic Manager

As population grows, there is parallel growth in the number of vehicles on the road. However, the

number of parking spaces remain the same or, at best, minimally increase. Therefore, efficient

management of traffic flow and available parking slots is a must. IoT plays a big role in doing so with

multiple other applications which will be explained in this section. The sequence of this topic is

technologies used, system framework with an example and future work.

Technologies

A. RFID: RFID is a digital tag that contains a unique ID which can be assigned to any device; in this

example, it would be vehicles.

B. Communicator: This technology is used to communicate the RFID tag bearer information to a

centralized workstation for network-based communication.

C. Sensors: Devices that report changes or information regarding their surroundings based on what they

are designed for.

D. Smart Traffic Signals: Traffic signals that work dynamically based on traffic flow information and

capable of communicating with other nearby signals.

Functioning System of Smart Traffic Management

Every vehicle along with registration ID is assigned a RFID tag that uniquely identifies that vehicle. This

RFID tag captures data such as vehicle dimension, owner details, etc. Every traffic signal is embedded

with sensors that detect speed, count of vehicle passing, RFID scanner, and a programmed predefined

algorithm to facilitate dynamic functioning of traffic signals. When a vehicles passes the signal, the signal

sensors capture the information of that vehicle through RFID scanner, its passing speed and owner

details. The number of vehicles passing per minute is recorded to analyze the traffic flow. Based on this

https://www.cnet.com/news/appliance-science-how-the-amazon-dash-button-works/

https://www.cnet.com/news/appliance-science-how-the-amazon-dash-button-works/


data and programmed algorithm, the signal can choose to extend green light or freeze the traffic to

activate vehicle flow from the opposite direction. The communicators play an important role in

transferring information from one traffic signal to other nearby signals. If traffic flow is high in current

signal 2 and congestion is occurring, traffic signal 2 will communicate to previous traffic signal 1 to issue

a red light so that no more vehicles will leave from previous traffic signal until the traffic is cleared in

signal 2. These data are backed up to a centralized workstation. When a vehicle owner is moving in a

direction, data from centralized workstation near that location along with GPRS can be used to inform

the owner through his smart phone regarding traffic congestion ahead so that another route may be

chosen to avoid traffic.

Example

Sample Smart Signal Working Algorithm

A minimum and maximum timer is set for each type of signal. The minimum timer for green signal may

be 30 seconds and maximum may be 120 seconds, the same for red signal and 5 seconds for orange

prior to red signal.

Figure 5a below diagrams the example for smart traffic management.

Fig 5a: Smart Traffic Management

Every vehicle depicted in the image above is configured with RFID tag. Signal 1 and 2 are backing up

traffic data to a centralized control station. Consider rider X is at signal 1. Signal 2 detects high vehicle

flow and extends green signal from 30 sec to 120 sec so that there is no congestion. Simultaneously,

signal 2 communicates with signal 1 to set a red light for 120sec so that no vehicle comes forward until

traffic at signal 2 is cleared. Meanwhile, GPS system taking data from control station, notifies rider X at

signal 1 about the traffic congestion ahead so that an alternative route can be chosen.


Rider Y ignores traffic rule at signal 1 by riding even when signal is red. The sensor at signal 1 scans the

RFID of the vehicle to note owner details and sends data to control station. Immediately, rider Y receives

a penalty notice on his smartphone through GPS.

Functioning System of Smart Parking

The same technologies used in smart traffic management can be applied to manage parking. Every

parking slot is assigned a number. Every vehicle RFID contains vehicle dimensions and owners details.

This, when bundled with smartphone app and GPS, can manage parking problems. When a vehicle

passes a traffic signal, its RFID is scanned and details are sent to control station. Based on location of

signal from which data was sent, the nearest available parking slot is determined and notified to rider

through a smart parking mobile app. Each parking space has obstacle sensors to detect which slot is

empty and same is communicated to the rider. Riders can book that slot immediately so that this

reflects in control station data and that particular slot will be blocked. Additionally, the obstacle sensors

will have timers. The timer starts when a vehicle is parked and ends when it leaves. The parking fee is

calculated as programmed by the parking space manager. The parking area is connected to WiFi which

sends timing data to toll center to collect fee.

Example

The image below depicts a simple example.

Fig 5b: Smart Parking

Vehicle X enters traffic signal, its RFID tag is read and data is sent to control station. Parking space data,

i.e. slot numbers available, how far it is located, are sent to control station. Each time a vehicle leaves a

parking slot, the slot number is communicated as available to control station. In above example, slot 4, 6

and 7 are free. Based on vehicle dimension data, control station with help of GPS sends notification to

rider X’s mobile specifying slot 4 is free as that’s the only slot suitable to park car. Rider X chooses to

block the slot and this is reflected in control station data. Once the car is parked, the timer starts and fee


is $2 per hour. When car leaves the slot after 2 hours, time is calculated and communicated to toll

collecting center located at exit where the driver will pay $4. Again this slot is reported as free for next

parking and the cycle repeats.

Future Work

Future work would be to expand the application of smart traffic management and smart parking over

broader locations to build a larger network of smart signals that can facilitate drivers throughout their

travel with updates and efficient traffic management thus reducing wait time at signals.

Conclusion

When implemented creativity, IoT can play different roles in every field to find a solution for common

problems faced in daily life. This technology is never old and can be expanded to any level as and when

requirements arise. When IoT is implemented with other technologies, more innovative applications can

be discovered. This paper was an attempt to explain a few such innovative IoT applications in a simple

way.


Bibliography

[1] Lei Yu, Yang Lu, etc., Smart Hospital based on Internet of Things, Journal Of Networks,VOL. 7,No. 10,October 2012. [2] Patan Rizwan, Rajasekhara Babu M,Suresh K, Design and development of low investment smart hospital using internet of things through innovative approaches, Biomedical Research 2017;28(11): 4979-4985. [3] Sejal Patel, Narendra Singh, Sharnil Pandya, IOT based Smart Hospital for Secure Healthcare System, ISSN: 2321-8169 404-408. [4] S.M. Riazul Islam, Daehan Kwak. Etc., The Internet of Things for Health Care: A comprehensive Survey,0.1109/ACCESS.2015.2437951 [5] Sornalatha K, Kavitha V.R, A Smart Museum Using Internet of Things, e-ISSN: 2395-0056 [6] Angelo Chianese, Vincenzo Moscato, etc., A Location-based smart application applied to cultural heritage environments. [7] Raheela Shahzadi,Muhammad Tausif, Javed Ferzund etc., Internet of Things based Expert System for Smart Agriculture, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 7, No. 9, 2016 [8] Dr.N.Suma, Sandra Rhea Samson, etc., IOT Based Smart Agriculture Monitoring System, International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 2 [9] Vinayak N. Malavade, Pooja K. Akulwar, Role of IOT in Agriculture, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p-ISSN: 2278-8727, PP 56-57. [10] https://www.cio.com/article/2383123/mobile/geofencing-explained.html [11] https://www.digitallogic.co/blog/geofencing-geotargeting-advertising-online-marketing/ [12] Mobile location based services marketing whitepaper, Oct 2011. [13] Wan-Shiou Yang, Jia-Ben Dia etc., Mining Social Networks for Targeted Advertising, Proceedings of the 39th Hawaii International Conference on System Sciences – 2006 [14] Priyanka M. Sahu,Prof. D.M Sable, A Survey Paper on Targeted Advertising using Location – Based Behavioural Data and Social Data, International Journal of Engineering Research & Technology(IJERT) issn:2278-0181,Vol.5 Issue 11,Nov-2016 [15] Sachin W.Rahate, Dr.M.Z. Shaikh, Geo-fencing Infrastructure: Location Based Service, International Research Journal of Engineering and Technology (IRJET), Volume: 03 Issue: 11 | Nov -2016

https://www.cio.com/article/2383123/mobile/geofencing-explained.html

https://www.digitallogic.co/blog/geofencing-geotargeting-advertising-online-marketing/


[16] Ninad Lanke, Sheetal Koul, Smart Traffic Management System, International Journal of Computer Applications (0975 – 8887) Volume 75– No.7, August 2013. [17] Mahesh Lakshminarasimhan, Advanced Traffic Management System Using Internet of Things, Researchgate 2016. [18] Dr Y Raghavender Rao, Automatic Smart Parking System using Internet of Things (IOT), International Journal of Engineering Technology Science and Research,IJETSR ISSN 2394 – 3386,Volume 4, Issue 5, May 2017. [19] Vrushali D. Ichake, Priya D. Shitole etc., Smart Car Parking System Based on IOT Concept, International Journal of Engineering Science Invention,ISSN, Volume 5 Issue 3|| March 2016 || PP.48-54 [20] Aniket Gupta, Sujata Kulkarni etc., Smart Car Parking Management System Using IoT, American Journal of Science, Engineering and Technology, 2017; 2(4): 112-119.


Dell EMC believes the information in this publication is accurate as of its publication date. The

information is subject to change without notice.

THE INFORMATION IN THIS PUBLICATION IS PROVIDED “AS IS.” DELL EMC MAKES NO

RESPRESENTATIONS OR WARRANTIES OF ANY KIND WITH RESPECT TO THE INFORMATION IN THIS

PUBLICATION, AND SPECIFICALLY DISCLAIMS IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS

FOR A PARTICULAR PURPOSE.

Use, copying and distribution of any Dell EMC software described in this publication requires an

applicable software license.

Dell, EMC and other trademarks are trademarks of Dell Inc. or its subsidiaries.

encroachment and advancement of iot - dell€¦ · 4. next-gen business with iot: gaining...

Documents