Energy-Efficient Adaptive Routing Algorithm Based on Fuzzy Inference System using Zone-Based Clustering of Wireless Sensor Network

Energy-Efficient Adaptive Routing Algorithm Based on Fuzzy Inference System using Zone-Based Clustering of Wireless Sensor Network

© 2022 by IJETT Journal
Volume-70 Issue-6
Year of Publication : 2022
Authors : Annie Sujith, Kamalesh V. N., Srinivasa H. P, Suresh S.
DOI : 10.14445/22315381/IJETT-V70I6P224

How to Cite?

Annie Sujith, Kamalesh V. N., Srinivasa H. P, Suresh S., "Energy-Efficient Adaptive Routing Algorithm Based on Fuzzy Inference System using Zone-Based Clustering of Wireless Sensor Network," International Journal of Engineering Trends and Technology, vol. 70, no. 6, pp. 221-236, 2022. Crossref,

Sensor nodes in Wireless Sensor Networks (WSN) have limited resources. Therefore establishing an energy-efficient routing strategy is a major difficulty. For WSN, the suggested algorithm presents an energy-efficient adaptive routing strategy based on the Fuzzy Inference System (FIS) and zone-wise clustering (EEARZC). It introduces a new routing trust mechanism. Using a FIS to choose which Cluster Head to transmit from among the willing candidates, EEARZC discovers the best path to the Sink Node. Increased packet delivery rate, efficient energy utilization in nodes, and increased network lifetime are all benefits of EEARZC. The suggested technique is compared for several situations using metrics such as the first node dying, half of the nodes dying, the last node dying, the number of live nodes, total remaining energy, and the quantity of data received at Sink Node. Compared to previous techniques, simulation findings demonstrate that EEARZC provides greater performance.

Routing, Energy efficiency, Fuzzy inference system, Zone, Fuzzy rules, Wireless sensor network.

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