An Efficient Technique for Energy Proficient Clustering based Routing for Packet Split and Merge in Wireless Sensor Networks

The primary intention of the paper work is to develop an energy proficient clustering algorithm for merging and splitting. Energy efficiency is the main issues in WSNs, because of battery that is available in WSN cannot be replaced or recharged. The proposed method is an efficient energy-self-organized model of clustering which uses merging as well splitting (EECSM). This algorithm performs merging and splitting for efficient energy in to clusters. Previous works show that balancing of the load is considered with distributed organized self manner. To eliminate the drawback of the existing work, the proposed system is used. EECSM will use energy state information related to sensor nodes for reducing consumption of energy and load maintenance and balancing. EECSM will prolong the life of the network by merging and splitting the clusters using cluster heads in a sensor network. The experimental results shows that EECSM will perform better in terms of the life of network, scalability, energy residual and robustness.