Abstract
The main objective of work is to develop an efficient energy clustering algorithm with 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 re-organized clustered model which uses merging and splitting (EECSM). This algorithm performs merging and splitting for efficient energy in clusters. Previous works show that balancing of load is considered with distributed organized self manner. To eliminate the existing work drawback, we develop a system of proposed for use. EECSM will use energy state information related to sensor nodes for reducing consumption of energy and load maintenance and balancing. EECSM will prolong the network life by merging and splitting the clusters using cluster heads in a sensor network. The experimental results shows that EECSM will performance better in terms of life of the network, scalability, energy residual, and robustness.
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Naga Gopi Raju, V., Rao, K.R.H. (2019). Efficient Energy Re-organized Clustering Based Routing for Splitting and Merging Packets in Wireless Sensor Network. In: Smys, S., Bestak, R., Chen, JZ., Kotuliak, I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore. https://doi.org/10.1007/978-981-10-8681-6_95
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DOI: https://doi.org/10.1007/978-981-10-8681-6_95
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