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Improved Leach using Highest Remaining Energy First based Cluster Head Selection

by Navjot Kaur, Gagandeep Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 7
Year of Publication: 2014
Authors: Navjot Kaur, Gagandeep Singh
10.5120/18083-8935

Navjot Kaur, Gagandeep Singh . Improved Leach using Highest Remaining Energy First based Cluster Head Selection. International Journal of Computer Applications. 103, 7 ( October 2014), 1-6. DOI=10.5120/18083-8935

@article{ 10.5120/18083-8935,
author = { Navjot Kaur, Gagandeep Singh },
title = { Improved Leach using Highest Remaining Energy First based Cluster Head Selection },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 7 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number7/18083-8935/ },
doi = { 10.5120/18083-8935 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:52.639689+05:30
%A Navjot Kaur
%A Gagandeep Singh
%T Improved Leach using Highest Remaining Energy First based Cluster Head Selection
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 7
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Power effectiveness found to be main limitation in WSN due to insufficient battery of sensor nodes. Therefore, the most significant focus of the existing work is to locate the ways to decrease the difficulty of power utilization and will result in improvement in the network stability period and life time. A lot of researchers have planned a variety of the protocols to additional improve the network lifetime. This paper has evaluated the issues which have been ignored in the field of the WSNs. In this paper, a latest enhanced highest residual power initial based clustering technique is planned to improve the results of the existing iLEACH protocol. Proposed technique is an extension to iLEACH using sorting techniques to improve the results additional. The proposed algorithm is designed and implemented in MATLAB. It has been exposed in this paper that the proposed algorithm provides improved results than existing clustering protocols.

References
  1. Zhi-fengDuan, Fan Guo, Ming-xing Deng and Min Yu "Shortest Path Routing Protocol for Multi-layer Mobile Wireless Sensor Networks", International Conference on Net works Security, Wireless Communications and Trusted Computing (IEEE) (2009), 25-26 April; Wuhan, Huber, pp. 106-110.
  2. Heinzelman, W. , Chandrakasan, A. , and Bala krishnan, H. , "Energy-Efficient Communication Protocol for Wireless Microsensor Networks" IEEE Proceedings of the 33rd Hawaii International Conference on System Sciences, Jan 2000, pp. 3005-3014.
  3. Liu, Y. , Luo, Z. , Xu, K. and Chen, L. , "A Reliable Clustering Algorithm base on LEACH Protocol in Wireless Mobile Sensor Networks" International Conference on Mechanical and Electrical Technology, September 2010, pp. 692-696.
  4. Ahlawat, A. and Malik, V. , "An Extended Vice-Cluster Selection Approach to Improve V-LEACH Protocol in WSN", IEEE 3rdconference on Advance Computing and Communication Technology, April 2013, pp. 236-240.
  5. Guisheng Yin1, Guang Yang1,2, Wu Yang1,2, Bingyang Zhang1,2, Wenjin Jin1,2 "An Energy-Efficient Routing Algorithm for Wireless Sensor Networks", International Conference on Internet Computing in Science and Engineering (IEEE) (2008),28-29 Jan; Harbin, pp. 181-186.
  6. Yuhua Liu Yongfeng Zhao JingjuGao "A New Clustering Mechanism Based On LEACH Protocol", International Joint Conference on Artificial Intelligence (IEEE) (2009), 25-26 April; Hainan, Island, pp. 715-718.
  7. Ma Chaw Mon Thein, Thandar Thein "An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks", International Conference on Intelligent Systems, Modelling and Simulation (IEEE) (2010), 27-29 Jan ; Liverpool, pp. 287-291.
  8. Melese, D. G. , Xiong, H. , and Gao Q. , "Consumed Energy as a Factor For Cluster Head Selection in Wireless Sensor Networks", IEEE 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), September 2010, pp. 1-4.
  9. Katiyar, V. , Chand, N. , Gautam, G. C. and Kumar A. , "Improvement in LEACH Protocol for Large-scale Wireless Sensor Networks", IEEE Conference on Emerging Trends in Electrical and Computer Technology (ICETECT), March 2011, pp. 1070-1075.
  10. Sun, J. , Chen, W. , Zhang, B. , Liu, X. and GU, X. , "Energy-efficient Clustering Routing Protocol Based on Weight", IEEE International Conference on Wireless Communications & Signal Processing, November 2009, pp. 1-5
  11. Babaie, S. , Agaalizadeh, S. and Golsorkhtabar, M. "The Novel Threshold Based Hierarchical Clustering Method for Wireless Sensor Network", IEEE International Conference on Electronics and Information Engineering (ICEIE), August 2010, pp. 191 – 195
  12. Melese, D. G. , Xiong, H. , and Gao Q. , "Consumed Energy as a Factor For Cluster Head Selection in Wireless Sensor Networks", IEEE 6th International Conference onWireless Communications Networking and Mobile Computing (WiCOM), September 2010, pp. 1-4.
  13. Hongjoong Sin, Jangsoo Lee, Sungju Lee, SeunghwanYoo, Sanghyuck Lee, Jaesik Lee, YongjunLee, and Sungchun Kim, "Agent-based Framework for Energy Efficiency in Wireless Sensor Networks", World Academy of Science, Engineering and Technology 22, 2008, pp. 305-309.
  14. Sun, J. , Chen, W. , Zhang, B. , Liu, X. and GU, X. , "Energy-efficient Clustering Routing Protocol Based on Weight", IEEE International Conference on Wireless Communications & Signal Processing, November 2009, pp. 1-5.
Index Terms

Computer Science
Information Sciences

Keywords

WSN LEACH Energy Efficient Sorting Energy.