Energy aware swarm optimization with intercluster search for wireless sensor network.
Wireless sensor networks (WSNs) are emerging as a low cost popular solution for many real-world challenges. The low cost ensures deployment of large sensor arrays to perform military and civilian tasks. Generally, WSNs are power constrained due to their unique deployment method which makes replacement of battery source difficult. Challenges in WSN include a well-organized communication platform for the network with negligible power utilization. In this work, an improved binary particle swarm optimization (PSO) algorithm with modified connected dominating set (CDS) based on residual energy is proposed for discovery of optimal number of clusters and cluster head (CH). Simulations show that the proposed BPSO-T and BPSO-EADS perform better than LEACH- and PSO-based system in terms of energy savings and QOS.
Department of Information Technology, Institute of Road and Transport Technology, Erode, Tamilnadu 638 316, India.
Shanmugasundaram
S
Thilagavathi
Department of Computer Science and Engineering, K. S. Rangasamy College of Technology, Tiruchengode, Tamilnadu 637 215, India.
Bhavani Gnanasambandan
BG
Geetha