An Energy-efficient Distributed Self-organized Clustering Based Splitting and Merging in Wireless Sensor Networks

The main objective of this project is to develop an energy efficient clustering algorithm with splitting and merging. Energy efficiency is one of the most important issues for WSNs, because the battery of each wireless sensor node cannot be recharged or replaced. The proposed system uses an energy-efficient self-organized clustering model with splitting and merging (EECSM). Which performs clustering and then splits and merges clusters for energy-efficient. In existing system only the load balancing is considered with distributed self organization manner. To overcome the drawback of the existing system the proposed system is used. EECSM uses information about energy state of sensor nodes to reduce energy consumption and maintain load balance. EECSM prolongs the network lifetime through splitting and merging clusters in sensor network. The results of our experiment show good performance of EECSM, in terms of network lifetime, residual energies, scalability, and robustness.