ACCESSIBILITY OF MOBILE CYBER PHYSICAL SYSTEM

Partha Sarathi KarSupervisor: Mohan Liyanage

PURPOSE OF STUDYNow a days for the Popularity of Smart Devices sometimes we want to take different kind of facility from the real world without our presence. Like, To Monitor & Control the Home Environment, To use a robot tend a garden [1]. Where CPS performing as a core platform in Back End depends on the Accessibility

CPSA Cyber Physical System (CPS) is a combined mechanism of computational algorithms and continuous network connectivity where embedded computing devices continually sense, monitor, and control the physical processes through networks.

Fig src: http://ieeexplore.ieee.org/document/7373757/

APPLICATION OF CPS

Modern networked industrial processes and critical infrastructures, such as water treatment[2], transportation[3], and chemical plants[4

Fig src :http://www.scag.ca.gov/programs/Pages/ArchitectureElements.aspx

MCPSMCPS is a prominent subcategory of CPS and it is location-independent. Where Mobile devices are acting an important role in computation, to exchange data, to working as a network node in Cyber Physical System.

Fig src: http://ieeexplore.ieee.org/document/6577715/(Monitoring mobile cyber-physical systems by means of a knowledge

discovery cycle)

APPLICATION OF MCPSApplications to track and analyze CO2 emissions, [5] detect traffic accidents [6], insurance telematics [7] and provide situational awareness services to first responders, [8][9] measure traffic, [10] and monitor cardiac patients. [11]

Fig src:http://bbcr.uwaterloo.ca/~x27liang/seehealthbib.htm

INTEREST IN THE AREA OF MCPS• Significant computational resources, such as processing capability,

local storage

• Multiple sensory input/output devices, such as touch screens, cameras, GPS chips, speakers, microphone, light sensors, proximity sensors

• Multiple communication mechanisms, such as WiFi, 3G, EDGE,

• High-level programming languages that enable rapid development of mobile CPS node software

• Readily-available application distribution mechanisms, such as the Android Market and Apple App Store

ACCESSIBILITYAccessibility refers to the ability of everyone to approach, reach, enter, speak with, or use the service or resource or any product.

In mobile cyber-physical system (CPS)  accessibility means Access of it’s resources  when needed. Like Accessibility of • Networks• Energy • Efficient sensing • Data Analysis• Objects’ mobility • Real time response

IMPORTANCE OF ACCESSIBILITYPROPERTIES OF CPS• Data Collection and Processing• Composition and mash-up of sensor and actuator services • Self Adaption• Self Organization• Self Optimization• Self Protection

And these properties will work accurately depends on the availability of Accessibility

EXAMPLE

Cars are using sensors and actuators for safety alerts andAutonomous navigation

IF ANY ACCESSIBILITY FAILED THEN IT WILL GET WRONG DIRECTION AND COULD BE CRASHED

Fig src:http://www.azosensors.com/article.aspx?ArticleID=688

FUTURE WORKCHALLENGES• Energy efficient sensing • Big Data Challenges , Like Data

Scalability, Reproducibility , Complexity etc• Networking and communication

issues • Object mobility

RESOURCE LINKS1. https://groups.csail.mit.edu/drl/wiki/images/b/b1/2015_ICRA_Garden.pdf2. L. J. Zhao, Y. T. Chai, D. C. Yuan. Selective ensemble extreme learning machine modeling of effluent quality in wastewater treatment

plants. International Journal of Automation and Computing, vol. 9, no. 6, pp. 627–633, 2012.3. M. Y. Zhao, J. Walker, C. C. Wang. Challenges and opportunities for securing intelligent transportation system. IEEE Journal on

Emerging and Selected Topics in Circuits and Systems, vol. 3, no. 1, pp. 96–105, 2013.4. Y. Hashimoto, T. Toyoshima, S. Yogo, M. Koike, T. Hamaguchi, S. Jing, I. Koshijima. Safety securing approach against cyber-attacks for

process control system. Computers and Chemical Engineering, vol. 57, pp. 181–186, 2013.5. J. Froehlich, T. Dillahunt, P. Klasnja, J. Mankoff, S. Consolvo, B. Harrison, and J. Landay, "UbiGreen: investigating a mobile tool for

tracking and supporting green transportation habits," in Proceedings of the 27th international conference on Human factors in computing systems. ACM, 2009, pp. 1043–1052.

6.  Jules White,Siobhan Clarke, Christin Groba, Brian Dougherty,Chris Thompson,Douglas C. Schmidt R&D challenges and solutions for mobile cyber-physical applications and supporting Internet services. http://link.springer.com/article/10.1007/s13174-010-0004-9

7. P. Handel, I. Skog, J. Wahlstrom, F. Bonawide, R. Welsh, J. Ohlsson, and M. Ohlsson: Insurance telematics: opportunities and challenges with the smartphone solution, Intelligent Transportation Systems Magazine, IEEE, vol.6, no.4, pp. 57-70, winter 2014, doi: 10.1109/MITS.2014.2343262

8. Thompson, C.; White, J.; Dougherty, B.; Schmidt, D. C. (2009). "Optimizing Mobile Application Performance with Model–Driven Engineering". Software Technologies for Embedded and Ubiquitous Systems (PDF). Lecture Notes in Computer Science. 5860. p. 36. doi:10.1007/978-3-642-10265-3_4. ISBN 978-3-642-10264-6.

9. Jones, W. D. (2001). "Forecasting traffic flow". IEEE Spectrum. 38: 90. doi:10.1109/6.901153.10. Rose, G. (2006). "Mobile Phones as Traffic Probes: Practices, Prospects and Issues". Transport Reviews. 26 (3): 275–291. doi:

10.1080/01441640500361108.11.  Leijdekkers, P. (2006). "Personal Heart Monitoring and Rehabilitation System using Smart Phones". 2006 International Conference on

Mobile Business. p. 29. doi:10.1109/ICMB.2006.39. ISBN 0-7695-2595-4.