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Reseach Article

Improving Energy Efficiency of Grouping Abstraction in Cyber Physical System

by Pooja Sobhrajan, Swati Y Nikam
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 7
Year of Publication: 2014
Authors: Pooja Sobhrajan, Swati Y Nikam
10.5120/17541-8123

Pooja Sobhrajan, Swati Y Nikam . Improving Energy Efficiency of Grouping Abstraction in Cyber Physical System. International Journal of Computer Applications. 100, 7 ( August 2014), 44-50. DOI=10.5120/17541-8123

@article{ 10.5120/17541-8123,
author = { Pooja Sobhrajan, Swati Y Nikam },
title = { Improving Energy Efficiency of Grouping Abstraction in Cyber Physical System },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 7 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 44-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number7/17541-8123/ },
doi = { 10.5120/17541-8123 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:29:22.985720+05:30
%A Pooja Sobhrajan
%A Swati Y Nikam
%T Improving Energy Efficiency of Grouping Abstraction in Cyber Physical System
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 7
%P 44-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cyber Physical System (CPS) integrates physical and cyber components for high performance, self-maintenance, self-organization, self-assembly, while the process must be dependable, safe, secure, and efficient in real-time. It supports heterogeneous devices, such as motes, PDAs, laptops, and actuators according to the applications' requirements. This paper describes an improved grouping abstraction for Cyber-physical systems. This abstraction allows different applications to simultaneously use the same sensors and actuators. It facilitates feedback control mechanisms by dynamic membership update and requirements reconfiguration based on feedback from the current members. It is implemented in Java, which ensures easy and conciseness of programming. It facilitates in-network aggregation and local processing which improves the lifetime of the network. This is shown in result to reduce energy consumption for enhancing the lifetime of the network. It would be validated on the application of smart campus ,which takes care of three functions like classroom occupancy, attendance monitoring aand area access controlling and monitoring.

References
  1. Pascal A. Vicaire, Enamul Hoque, Zhiheng Xie, and John A. Stank Vic, "Bundle: A Group-Based programming Abstraction for Cyber-Physical Systems",IEEE Transactions on Industrial informatics, Volume No. 8, ISSN: 1551-3203, pages 379-392, MAY 2012.
  2. Kamin Whitehouse, Cory Sharp, Eric Brewer, David Culler, "Hood:A Neighborhood Abstraction for Sensor Networks", 2nd International Conference on Mobile System Application Services, ISSN 1927-064, pages99-110, 2004.
  3. Luca Mottola and Gian Pietro Picco, "Logical Neighborhoods: A Programming Abstraction for Wireless Sensor Networks", Second IEEE International Conference, Volume 4026, ISSN 0302-9743, pages150-168, 2006
  4. Matt Welsh and Geoff Mainland, "Programming Sensor Networks Using Abstract Regions", 1st conference on Symposium on Networked Systems Design and Implementation, Volume 1 ,ISSN 1041-4347, pages 29-42, 2004
  5. Ryan Newton,Matt Welsh, "Region Streams: Functional Macroprogramming for Sensor Networks", ACM, Data Management for Sensor Networks, Volume 32, ISSN: 1556-4665, pages 78-87, 2004.
  6. Yang Ni, Ulrich Kremer, and Liviu Iftode, "Spatial Views: Space-Aware Programming for Networks of Embedded Systems", 16th International Workshop Languages Compilers Parallel Computing, Volume 2958, ISSN: 0302-9743, pages 258-272, 2003.
  7. L. Luo, T. F. Abdelzaher, T. He, and J. A. Stankovic, "EnviroSuite: An Environmentally Immersive Programming Framework for Sensor Networks", ACM Transactions on Embedded Computing System, Volume 5, ISSN: 1539-9087,Pages 543-576, 2006.
  8. D. Jacobi, P. E. Guerrero, I. Petrov, and A. Buchmann, "Structuring sensor networks with scopes", 3rd IEEE European Conference on Smart Sensing and Context (EuroSSC), IEEE Communications Society, Oct. 2008.
  9. E. Cheong, J. Liebman, J. Liu, and F. Zhao, "Tiny gals: A programming model for event-driven embedded systems", ACM Symposium Application Computing, Volume18, pages 698-704, 2003.
  10. Fang-Jinx Wua, Yu-Fen Kaob, Yu-Chee Tseng , "From wireless sensor networks towards cyber physical systems", Journal of Pervasive and Mobile Computing, Volume 7, pages 397-413, August 2011.
  11. P. A. Vicaire, Z. Xie, E. Hoque, and J. A. Stankovic, "Physicalnet: A generic framework for managing and programming across pervasive computing networks", in Proc. 16th IEEE Real-Time Embedded Technology Application System, pages 269-278, 2010.
  12. Edward Ashford Lee, Sanjit Arun kumar Seshia, "An Introduction to Embedded System- A Cyber Physical System Approach", UC Berkley, First Edition, http://LeeSeshia. org.
  13. Teodora Sanislav, Liviu Miclea, "An Agent-oriented Approach for Cyber- Physical System with Dependability Features", IEEE International Conference on Automation Quality and Testing Robotics (AQTR), pages 356-361, 2012.
  14. Teodora Sanislav, Liviu Miclea, "Cyber-Physical Systems - Concept, Challenges and Research Areas", CEAI, Vol. 14, No. 2, pp. 28-33, 2012.
  15. Pooja Sobhrajan, Swati Nikam "Comparative Study of Abstraction in Cyber Physical System", (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (1) , ISSN 0975-9646, pp. 466-469,2014.
Index Terms

Computer Science
Information Sciences

Keywords

Sensor network Cyber Physical System Actuator communications computation programming software.