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An Optimized Low Loss Energy-Aware Routing Protocol for Wireless Sensor Networks

by Satvir Singh, Meenaxi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 21
Year of Publication: 2013
Authors: Satvir Singh, Meenaxi
10.5120/11205-6468

Satvir Singh, Meenaxi . An Optimized Low Loss Energy-Aware Routing Protocol for Wireless Sensor Networks. International Journal of Computer Applications. 65, 21 ( March 2013), 1-4. DOI=10.5120/11205-6468

@article{ 10.5120/11205-6468,
author = { Satvir Singh, Meenaxi },
title = { An Optimized Low Loss Energy-Aware Routing Protocol for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 21 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number21/11205-6468/ },
doi = { 10.5120/11205-6468 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:19:24.349785+05:30
%A Satvir Singh
%A Meenaxi
%T An Optimized Low Loss Energy-Aware Routing Protocol for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 21
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper examines the QoS of an energy efficient cluster based routing protocol called Low-Loss Energy Aware Routing Protocol (LLEAP) in terms of network lifetime and aims some modifications on this protocol to increase its performance. Biological inspired algorithm helps to enhance the performance parameters of LLEAP.

References
  1. Ahmed A Ahmed, Hongchi Shi, and Yi Shang. A survey on network protocols for wireless sensor networks. In Information Technology: Research and Education, 2003. Proceedings. ITRE2003. International Conference on, pages 301–305. IEEE, 2003.
  2. Tiago Camilo, Carlos Carreto, Jorge Silva, and Fernando Boavida. An energy-efficient ant-based routing algorithm for wireless sensor networks. Ant Colony Optimization and Swarm Intelligence, pages 49–59, 2006.
  3. Marco Dorigo, Vittorio Maniezzo, and Alberto Colorni. Ant system: optimization by a colony of cooperating agents. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 26(1):29–41, 1996.
  4. Marco Dorigo and Krzysztof Socha. An introduction to ant colony optimization, 2006.
  5. Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan. Energy-efficient communication protocol for wireless microsensor networks. In System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on, pages 10–pp. IEEE, 2000.
  6. Ting Jiang, Wei Zang, Chenglin Zhao, and Jiong Shi. An energy consumption optimized clustering algorithm for radar sensor networks based on an ant colony algorithm. EURASIP Journal on Wireless Communications and Networking, 2010:9, 2010.
  7. Enan A Khalil and Baraa A Attea. Energy-aware evolutionary routing protocol for dynamic clustering of wireless sensor networks. Swarm and Evolutionary Computation, 1(4):195–203, 2011.
  8. Yingqi Lu, Du Zhang, Ya Chen, Xiao Liu, and Ping Zong. Improvement of leach in wireless sensor networks based on balanced energy strategy. In Information and Automation (ICIA), 2012 International Conference on, pages 111–115. IEEE, 2012.
  9. Song MAO and Cheng-lin ZHAO. Unequal clustering algorithm for wsn based on fuzzy logic and improved aco. The Journal of China Universities of Posts and Telecommunications, 18(6):89–97, 2011.
  10. Basma M Mohammad El-Basioni, Sherine M Abd Elkader, Hussein S Eissa, and Mohammed M Zahra. An optimized energy-aware routing protocol for wireless sensor network. Egyptian Informatics Journal, 12(2):61–72, 2011.
  11. Rudra Pratap. Getting started with MATLAB. Oxford University Press, 2002.
  12. Yanjing Sun, Yanjun He, Beibei Zhang, and Xue Liu. An energy efficiency clustering routing protocol for wsns in confined area. Mining Science and Technology (China), 2011.
  13. Yuan Tian, Eylem Ekici, and Fusun Ozguner. Energyconstrained task mapping and scheduling in wireless sensor networks. In Mobile Adhoc and Sensor Systems Conference, 2005. IEEE International Conference on, pages 8–pp. IEEE, 2005.
  14. Sangho Yi, Junyoung Heo, Yookun Cho, and Jiman Hong. Peach: Power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks. Computer communications, 30(14):2842–2852, 2007.
  15. Ossama Younis and Sonia Fahmy. Heed: a hybrid, energyefficient, distributed clustering approach for ad hoc sensor networks. Mobile Computing, IEEE Transactions on, 3(4):366–379, 2004.
  16. Gengzhong Zheng, Sanyang Liu, and Xiaogang Qi. Clustering routing algorithm of wireless sensor networks based on bayesian game. Systems Engineering and Electronics, Journal of, 23(1):154–159, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Ant colony optimization (ACO) Routing Protocol energyefficient network-lifetime

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