A Literature Survey on Adaptive Approach for Mobile Wireless Sensor Network with Dynamic Cluster Head Selection

Abstract: Wireless Sensor Networks (WSN) is the key resource of perception and is widely used trends now a days. In wireless sensor network clustering, Efficient clustering and proper Cluster Head (CH) selection schemes are required, in order to improve energy saving of sensor nodes. In this paper, Dynamic CH Selection Method (DCHSM) is used where CHs are selected dynamically to solve the problem of the unreasonable cluster head selection that may lead to the overlapping coverage and unbalanced energy consumption in the cluster communication. By comparing it with the other existed algorithms, Here the network lifetime is increased by 50%, higher than that of Low Energy Adaptive Clustering Hierarchy (LEACH), and increased by 30%, higher than that of Distribute Energy -Efficient Clustering Algorithm (DEEC). The survival time of the network is longer than that of energy-balanced deterministic clustering algorithm and adaptive energy optimized clustering algorithm. The effectiveness of the network energy consumption, and it has the longest network lifetime which can be achieved.

Keywords: WSN, Cluster Head, DCHSM, DEEC, LEACH, AODV, TDMA.