Energy Efficient and Optimal Randomized Clustering Protocol for Self Organization in WSN

Abstract: The sensor networks are self-organizing and multiple hope wireless networks which do not depend on any kind of physical infrastructure or topology. Therefore such networks required self-organizing sensor nodes deployment especially for disaster management applications. In this project, new hybrid approach introduced for efficient disaster management using energy efficient clustering method and efficient self-organization approach. Self-organization using the clustering approach resulted into efficient network disaster management as well as energy efficiency approach. Since hierarchical clustering minimizes energy consumption by routing data from one node to another. In this paper, we proposed a new algorithm for self-organization of sensors deployed in a geographical area. We propose an energy efficient and optimal randomized clustering protocol. This approach improves overall network performances such as network lifetime, throughput, energy efficiency, communication overheads and Packet Dropped Ratio.

Keywords: wireless sensor network, clustering algorithms, self organization, Low Energy Adaptive Clustering Hierarchy, Energy Efficient Optimal Clustering.