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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Saturday 21 September 2019

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Master Cluster Head and Vice Cluster Head Algorithm for Wireless Sensor Networks Using PSO


Volume 3, Issue 1, June 2014, Pages 75–81

 Master Cluster Head and Vice Cluster Head Algorithm for Wireless Sensor Networks Using PSO

S. Balaji and V. Saranraj

Original language: English

Received 7 May 2014

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


One of the most significant strategy measures of wireless sensor networks (WSNs) is energy efficiency. Grouping affords an effective way for encompassing the lifetime of the network. We offer a double cluster-heading clustering algorithm using particle swarm optimization (PSO-DH). The algorithm computes two cluster skulls. The determination of the dominant cluster and the immorality cluster-head needs consider the state information, including position and energy reservation about nodes and their neighbors. Because every node contains a list of information about his neighbors and location using connected dominating set. The dominant cluster head (DCH) receives and masses data to analyst directly. The algorithm poises the energy consumption, so it can encompass the network life time effectively.

Author Keywords: clustering, sensor networks, PSO, LEACH, energy efficiency.


How to Cite this Article


S. Balaji and V. Saranraj, “Master Cluster Head and Vice Cluster Head Algorithm for Wireless Sensor Networks Using PSO,” International Journal of Innovation and Scientific Research, vol. 3, no. 1, pp. 75–81, June 2014.