Secure Energy-Efficient Load Balancing and Routing in Wireless Sensor Networks With Mediative Micro-ANN Fuzzy Logic

Laxmaiah Kocharla and B. Veeramallu
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Laxmaiah Kocharla: Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, India
B. Veeramallu: Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, India

International Journal of Fuzzy System Applications (IJFSA), 2022, vol. 11, issue 3, 1-16

Abstract: The security and life time of network are most import factors in wireless sensor networks (WSN). In this research work Mediative Micro ANN Fuzzy logic(MMAFL) has been proposed, along with load-balance routing algorithm. The designed method can increase WSN’s additional feature like securing packet from message capture and tampering attacks. The aim of the proposed routing algorithm is reduce the overall energy consumption and ensure fair use of node energy, so that lifetime of the network has been automatically increased. Experimentation of the proposed Mediative Micro ANN Fuzzy logic is implemented in MATLAB 2018b software and compared with the existing techniques to prove the effectiveness of the approach. The MMAFL model is most useful for medical, Mobile, and industrial applications for data transferring and network security. The performance measures like accuracy 97.45%, F measure 97.34%, overhead 11.10%, delay 8.96ms, throughput 90%, lifetime 27%, and packet-delivery ration 86.11% had been attained, which are most prominent compared to earlier models.

Date: 2022
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