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Reseach Article

Distributed Energy Aware Routing Protocol for Wireless Sensor Network

by M. M. Chandane, S. G. Bhirud, S.V. Bonde
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 34 - Number 3
Year of Publication: 2011
Authors: M. M. Chandane, S. G. Bhirud, S.V. Bonde
10.5120/4077-5871

M. M. Chandane, S. G. Bhirud, S.V. Bonde . Distributed Energy Aware Routing Protocol for Wireless Sensor Network. International Journal of Computer Applications. 34, 3 ( November 2011), 6-11. DOI=10.5120/4077-5871

@article{ 10.5120/4077-5871,
author = { M. M. Chandane, S. G. Bhirud, S.V. Bonde },
title = { Distributed Energy Aware Routing Protocol for Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 34 },
number = { 3 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume34/number3/4077-5871/ },
doi = { 10.5120/4077-5871 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:20:02.238843+05:30
%A M. M. Chandane
%A S. G. Bhirud
%A S.V. Bonde
%T Distributed Energy Aware Routing Protocol for Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 34
%N 3
%P 6-11
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Networks consist of a large population of sensor nodes capable of computation, communication and sensing. Limited energy resource is the inherent limitation of Wireless Sensor Network, Most routing algorithms for Sensor Network focus on energy efficient paths, Due to this, power in the sensor, along the energy efficient paths gets depleted very quickly, and therefore Sensor Networks becomes incapable of monitoring events from certain parts of the targeted area. Ideally, routing algorithm should consider not only energy efficient (shortest) path but also available energy at every Sensor node along the path, thereby delaying the non- functioning of sensors due to early power depletion. In this paper, we are introducing two new metric like thresholds, energy cost to find energy critical sensor node and energy efficient path respectively. These two metric gives rise to the design of Distributed Energy Aware Routing Protocol (DEARP) for Wireless Sensor Networks. DEARP is designed to generate routing paths in a decentralized manner, while considering the energy efficiency, and available energy in each sensor node to avoid early power depletion. Experimental result shows the effectiveness of proposed algorithm in terms of network lifetime, energy consumption and Quality of Service (QoS) parameters. Comparative analysis of DEARP with the widely used AODV shows that energy cost along with available energy in each node should be considered to extend lifetime of Sensor Network.

References
  1. Ian F. Akylidiz, Weilian Su, Yogesh Sankarasubramaniamand Erdal Cayirci. Wireless Sensor Network: A Survey on Sensor Networks. IEEECommunications Magazine, 40(8); pp. 102-114, August 2002.
  2. Suraiya Tarannum, B Aravinda, L Nalini, K.R. Venugopal, and L. M. Patnaik, Routing Protocol for lifetime Maximization of Wireless Sensor Networks, IEEE Explore, PP.401-406, 2006.
  3. Changsoo Ok, Prasenjit Mitra, Seokchen Lee, and Soundar Kumara, Distributed Energy-Adaptive Routing for Wirelss Sensor Networks, IEEE Conference on Automation Science and Engineering, Scottsdate, AZ, USA, PP 905-910, Sept 22-25,2007.
  4. Jussi Haapola, Zach Shelby, Carlos Pomalaza-Raez, and Petri Mahonen, Cross-Layer Energy Analysis of Multi-Hop Wireless Sensor Network.
  5. W. R. Heinzemman, A. Chandrakasan, and H. Balakrishnan, Energy-Efficient Communication Protocol for Wireless Microsensor Networks, IEEE proceedings of the 33rd Hawai International Conference on System Sciences, pp 1-10, 2000.
  6. C. Intanagonwiwat, R. Govindan, and D. Estrin. Directed Diffusion:A Scalable and Robust Communication Paradigm for Sensor etworks. In Proceedings of 6th ACM/IEEE MOBICOM Conference, pp. 56-57,August 2000.
  7. B. Krishnamachari, D. Estrin, and S. Wicker. The Impact of Data Aggregation in Wireless Sensor Networks. In International Workshop of Distributed Event-Based Systems, 2002.
  8. D. Ganesan, R. Govindan, S. Shenker, and D. Estrin. Highly Resilient,Energy Efficient Multi-path Routing in Wireless Sensor Networks. ACM SIGMOBILE, Mobile Computing and Communications Review, 4, Issue5, October 2001.
  9. R. Heinzelman, J. Kulik and H. Balakrishnan. daptive protocols for Information Dissemination in Wireless Sensor Networks. In Proceedingsof ACM MOBICOM, pp. 174-185, August 1999.
  10. S. Lindsey and C. S. Raghavendra. PEGASIS: Power Efficient Gatheringin Sensor Information Systems. In Proceedings of IEEE ICC 2001, pp.1125-1130, June 2001.
  11. Yan Luo, Yun xu, liuSheng Huang, Hongli Xu, ATracking Range Based Ant-Colony Routing Protocol for Mobile Wireless Sensor Network, IEEE Computer Society, The 4th International Conference on Mobile Ad-hoc and Sensor Networks, pp 116-121, 2008.
  12. Daisuke Takashi, Xiaoyan Hong, and Yang Xio, On-Demand Anonymous Routing with Distance Vector Protecting Traffic Privacy in Wireless Multi-hop Network, IEEE Computer Society, The 4th International Conference on Mobile Ad-hoc and Sensor Networks, pp 145-151, 2008
  13. N. Chilamkurti, S. Zeadally, A. Vasilakos, and V Sharma, Cross Layer Support for Energy Efficient Routing in Wireless Sensor Networks, Journal of Sensors, Volume 2009, Article ID 134165, 9 pages, 2009.
  14. Charles E. Perkins and Elizabeth M. Royer, “Ad Hoc On-Demand Distance Vector Routing,” in Proceedings of the 2nd IEEE Workshop on Mobile Computing Syslems and Applications, Feb. 1999, pp. 90-100.
  15. Qualnet Simulator www.scalable-networks.com
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Energy efficient routing algorithm Distributed Energy Aware Routing Protocol