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Reseach Article

Energy Efficient Cost Function for Wireless Sensor Networks

Published on None 2011 by Nesa Sudha M, Sapna E John
journal_cover_thumbnail
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 8
None 2011
Authors: Nesa Sudha M, Sapna E John
04bf4682-95a3-4f43-ae59-04e86ca24198

Nesa Sudha M, Sapna E John . Energy Efficient Cost Function for Wireless Sensor Networks. International Conference on VLSI, Communication & Instrumentation. ICVCI, 8 (None 2011), 24-28.

@article{
author = { Nesa Sudha M, Sapna E John },
title = { Energy Efficient Cost Function for Wireless Sensor Networks },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 8 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 24-28 },
numpages = 5,
url = { /proceedings/icvci/number8/2687-1368/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Nesa Sudha M
%A Sapna E John
%T Energy Efficient Cost Function for Wireless Sensor Networks
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 8
%P 24-28
%D 2011
%I International Journal of Computer Applications
Abstract

Energy conservation is an important aspect regarding routing in wireless sensor networks. Single path routing protocols are not an optimum choice in maximizing network lifetime. In this paper an energy efficient multipath routing is proposed. A cost function is used in this multipath routing protocol that maximizes network lifetime using minimum energy path. Multipath routing helps in balancing the load and also reliability in data delivery is achieved. The protocol discovers a least energy path in terms of cost function by calculating node‟s transmission energy and residual energy. The cost function is used to find the next hop node through the path construction phase. A primary path and alternate path is discovered. When a node in primary path fails it takes an alternate path and transmits data. The node‟s transmission energy and residual energy are used to predict the next hop through the path construction phase. The proposed cost function in this paper achieves much higher performance than other cost functions and has minimum average delay. The remaining energy in the node is also conserved.

References
  1. T. Bokareva, W. Hu, S. Kanhere, B. Ristic, N. Gordon, T. Bessell, M. Rutten, S. Jha,”Wireless Sensor Networks For Battlefield Surveillance”, In: Proceedings Of The Land Warfare Conference, Lwc Brisbane, Australia, October 24_27, 2006.
  2. N. Xu, S. Rangwala, K. Chintalapudi, D. Ganesan, A. Broad, R. Govindan, D. Estrin, “A Wireless Sensor Network For Structural Monitoring”, In: The Proceedings Of The 2nd International Conference On Embedded Networked Sensor Systems, Baltimore, Md, Usa, November 03_05, 2004, Pp. 13_24..
  3. A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, J. Anderson, “Wireless Sensor Networks For Habitat Monitoring”, In: The Proceedings Of The 1st Acm International Workshop On Wireless Sensor Networks And Applications, Acmwsna, Atlanta, Georgia, Usa, September 28_28, 2002, Pp. 88_97.
  4. Bashir Yahya, Jalel Ben-Othman, “Towards A Classification Of Energy Aware Mac Protocols For Wireless Sensor Networks”, Journal Of Wireless Communications And Mobile Computing 9 (12) (2009) 1572_1607.
  5. Wenjing Lou, Wei Liu, Yanchao Zhang, “Performance Optimization Using Multipath Routing In Mobile Ad Hoc And Wireless Sensor Networks”, A Book Chapter In Combinatorial Optimization In Communication Networks Book, Kluwer, 2005, Isbn:978-0-387-29025-6
  6. Jamal N. Al-Karaki Ahmed E. Kamal,”Routing Techniques in Wireless Sensor Networks: A Survey”,Dept. of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011.
  7. Deepak Ganesan, Ramesh Govindan, Scott Shenker, Deborah Estrin,“Highly Resilient, Energy-Efficient Multipath Routing In Wireless Sensor Networks”, ACM Sigmobile Mobile Computing And Communications Review 5 (4) (2001) 11_25.
  8. Ye Ming Lu, Vincent W.S. Wong, “An Energy Efficient Multipath Routing Protocol For Wireless Sensor Networks”, International Journal Of Communication System 20 (7) (2007) 747_766.
  9. Jalel Ben-Othman, Bashir Yahya,” Energy efficient and QoS based routing protocol for wireless sensor networks”, Department of Computer Science, PRISM Laboratory, University of Versailles Saint Quentin, 45 Avenue des Etats-Unis.
  10. R Vidhyapriya , Dr P T Vanathi, “Energy Efficient Adaptive Multipath Routing for Wireless Sensor Networks”, IAENG International Journal of Computer Science, 34:1, IJCS_34_1_8.
  11. Chalermek Intanagonwiwat, Ramesh Govindan, Deborah Estrin, John Heidemann, Fabio Silva, “Directed Diffusion For Wireless Sensor Networking”, ACM/IEEE Transactions On Networking (Ton) 11 (1) (2002) 2_16.
  12. Michele Rossi,Michele Zorzi,“Probabilistic Algorithms for Costbased Integrated MAC and Routing in Wireless Sensor Networks”. Dept. of Engineering, University of Ferrara via Saragat 1, 44100 Ferrara, Italy
  13. Stefan Dulman, Tim Nieberg, Jian Wu, Paul, “Havinga,Trade-Off Between Traffic Overhead And Reliability In Multipath Routing For Wireless Sensor
Index Terms

Computer Science
Information Sciences

Keywords

wireless sensor networks multipath routing