Improvement of LEACH in Wireless Sensor Networks based on balanced energy strategy

Yingqi Lu, Du Zhang, Ya Chen, Xiao Liu, Ping Zong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

LEACH (Low Energy Adaptive Clustering Hierarchy) routing protocol is the conventional clustering communication protocol which is widely used in Wireless Sensor Networks. However, in LEACH, the nodes consume their energy quickly and the efficiency of energy deceases because the nodes with low energy and far away from base station become the cluster head nodes. By analyzing the energy model and considering three important factors: The energy of each node, the number of times of nodes that are chosen to be the cluster heads and the distances between nodes and base station, we change the node's threshold function to prolong the network's lifetime and realize the balance of energy in network. The simulation results indicate that the new protocol can prolong network's life time and balance energy consumption of nodes.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Information and Automation, ICIA 2012
Pages111-115
Number of pages5
DOIs
StatePublished - 2012
Event2012 IEEE International Conference on Information and Automation, ICIA 2012 - Shenyang, China
Duration: Jun 6 2012Jun 8 2012

Publication series

Name2012 IEEE International Conference on Information and Automation, ICIA 2012

Other

Other2012 IEEE International Conference on Information and Automation, ICIA 2012
CountryChina
CityShenyang
Period6/6/126/8/12

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering

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    Lu, Y., Zhang, D., Chen, Y., Liu, X., & Zong, P. (2012). Improvement of LEACH in Wireless Sensor Networks based on balanced energy strategy. In 2012 IEEE International Conference on Information and Automation, ICIA 2012 (pp. 111-115). [6246792] (2012 IEEE International Conference on Information and Automation, ICIA 2012). https://doi.org/10.1109/ICInfA.2012.6246792