Abstract
Wireless Sensor Networks are inherently subjected to restricted capabilities of processing power, battery power along with weak radio. There is always the requirement for routing protocol focusing on energy efficiency to optimize network total power consumption in the communication layer. The present research investigates distributed and centralized hierarchical routing protocols based on Fuzzy Logic with single-hop communication. A centralized hierarchical routing protocol with multiple hops for large Wireless Sensor Networks combining Fuzzy Logic and Artificial Fish Swarm algorithm is proposed and compared its performance with the distributed approach. The result obtained, demonstrates a better tradeoff between network energy balance in terms of Network Remaining Energy and Percent Node Die compared to the result obtained when the individual approach of Fuzzy Logic and Artificial Fish Swarm is implemented for the same network. The current research indicates a significant improvement in average energy consumption per round when compared with existing work.
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Zade, N.D., Kamatchi Iyer, R., Deshpande, S., Vora, D.R. (2023). Static Clustering Centralized Multi-hop Routing Protocol Based on Fuzzy Logic with Fish Swarm Intelligence. In: Chandran K R, S., N, S., A, B., Hamead H, S. (eds) Computational Intelligence in Data Science. ICCIDS 2023. IFIP Advances in Information and Communication Technology, vol 673. Springer, Cham. https://doi.org/10.1007/978-3-031-38296-3_15
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