Efficient Energy of Fuzzy based Cluster Routing Protocol in Wireless Sensor Network
Keywords:
Routing Protocol, Wireless Sensor Network, Fuzzy SystemAbstract
Energy efficiency is a critical challenge in Wireless Sensor Networks (WSNs) due to the limited battery capacity of sensor nodes and the high communication cost associated with long-distance data transmission. Traditional clustering protocols such as LEACH often suffer from uneven cluster-head selection, leading to rapid energy depletion and reduced network lifetime. To address these limitations, fuzzy-based cluster routing protocols have emerged as an intelligent and adaptive solution for energy-efficient communication. This study presents an efficient fuzzy-based clustering approach that utilizes multiple decision parameters including residual energy, node density, distance to the base station, and intra-cluster distance to determine optimal cluster-heads. By applying fuzzy inference rules, the proposed method ensures balanced energy consumption, minimizes cluster formation overhead, and enhances routing stability. Simulation analysis demonstrates that the fuzzy-based protocol significantly improves network lifetime, packet delivery ratio, and energy distribution compared to conventional clustering techniques. The results highlight the effectiveness of fuzzy logic in achieving robust, scalable, and energy-aware routing performance in modern WSN applications.
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