Volume 3, Issue 1, June 2014, Pages 75–81
S. Balaji1 and V. Saranraj2
1 Assistant Professor, Department of Computer Science and Engineering, VRS college of Engineering and Technology, Tamilnadu, India
2 Assistant Professor, Department of Information Technology, VRS college of Engineering and Technology, Tamilnadu, India
Original language: English
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.
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.
S. Balaji1 and V. Saranraj2
1 Assistant Professor, Department of Computer Science and Engineering, VRS college of Engineering and Technology, Tamilnadu, India
2 Assistant Professor, Department of Information Technology, VRS college of Engineering and Technology, Tamilnadu, India
Original language: English
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.
