Improving the Life Time of the Wireless Sensor Network Using Fuzzy Logic

In the past few years, intensive research that addresses the potential of collaboration among sensors in data gathering and processing, and coordination and management of the sensing activity was conducted. Thus, innovative techniques to eliminate energy inefficiencies that shorten the lifetime of the Network and efficient use of the limited bandwidth are highly required. LEACH (Low Energy Adaptive Clustering Hierarchy) is the most famous routing protocol which consumes less energy. In LEACH, the Cluster Head is selected based on some random probabilities. These Cluster Heads send the aggregated data to the base station. In the proposed protocol, Cluster Heads are selected in the same procedure followed by the LEACH. But, among the Cluster Heads, we have selected a Super Cluster Head (SCH) based on some fuzzy descriptors such as remaining battery power, centrality of cluster heads and mobility of base station. The Super Cluster Head then sends the data to the base station. The results have been derived from NS-2 simulator and show that the proposed protocol performs better than the LEACH protocol.

Implementation of Energy HEED (ER-HEED) Protocol Using Super Cluster Head for WSN

Wireless Sensor Network (WSN) is used in almost all applications in developing environment. This is due to their ability and easy implementation through several applications. The most important criteria in WSN are to minimize the energy consumption and improve the network lifetime. Clustering algorithms are considered as one of the effective way to improve the network lifetime in WSN. Hybrid, Energy-Efficient and Distributed (HEED) clustering approach uses energy-efficient clustering algorithm. This paper proposes an Enhanced Rotational HEED (ER-HEED) protocol using super cluster head for minimizing energy consumption and to improve the network lifetime. The proposed work is carried out in two stages, first stage, super cluster head is introduced. In second stage, the node with maximum threshold is chosen as a cluster head on rotation within in the cluster. The results show that the ER-HEED performs well when compared with HEED and LEACH.