ACCESSIBILITY OF MOBILE CYBER PHYSICAL SYSTEM

1. ACCESSIBILITY OF MOBILE
CYBER PHYSICAL SYSTEM
Partha Sarathi Kar
Supervisor: Mohan Liyanage

2. PURPOSE OF STUDY
Now 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

3. CPS
A 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/

4. 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

5. MCPS
MCPS 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
)

6. APPLICATION OF MCPS
Applications 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

7. 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

8. ACCESSIBILITY
Accessibility 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

9. IMPORTANCE OF ACCESSIBILITY
PROPERTIES 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

10. EXAMPLE
Cars are using
sensors and actuators
for
safety alerts and
Autonomous 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

11. FUTURE WORK
CHALLENGES
• Energy efficient sensing
• Big Data Challenges , Like Data
Scalability, Reproducibility , Complexity etc
• Networking and communication issues
• Object mobility

12. RESOURCE LINKS
1. https://groups.csail.mit.edu/drl/wiki/images/b/b1/2015_ICRA_Garden.pdf
2. 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.