Optimization of energy consumption in the batteries of a sensor node plays an essential role in wireless Sensor networks (WSNs). The longevity of sensor nodes depends on efficiency of energy utilization in batteries. Energy is consumed by sensor nodes in WSNs to perform three significant functions namely data sensing, transmitting and relaying. The battery energy in WSNs depletes mainly due to sampling rate and transmission rate. In the present work, the most important parameters affecting the longevity of network are indentified by modeling the energy consumption. The parameters are expressed as a fuzzy membership function of variables affecting the life time of network. Fuzzy logic is used at multiple levels to optimize the parameters. Network simulator-2 is used for experimentation purpose. The proposed work is also compared with the existing routing protocols like Enhanced Low Duty Cycle, Threshold Sensitive Energy Efficient Sensor Network and Distributed Energy Efficient Adaptive Clustering Protocol with Data Gathering. The proposed solution is found to be more energy efficient and hence ensures longer network lifetime.
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I would like to sincerely thank my guide Dr. U.B. Mahadevaswamy for his constant support to write this research paper. This research was supported in part by Sri Jayachamarajendra College of Engineering, Mysore, India.
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Raghavendra, Y.M., Mahadevaswamy, U.B. Energy Efficient Routing in Wireless Sensor Network Based on Composite Fuzzy Methods. Wireless Pers Commun 114, 2569–2590 (2020). https://doi.org/10.1007/s11277-020-07490-0
- Life time
- Data sensing rate
- Data transmission rate
- Data relay rate