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An Adaptive Fuzzy-Based Clustering and Bio-Inspired Energy Efficient Hierarchical Routing Protocol for Wireless Sensor Networks

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Abstract

Wireless Sensor Network (WSN) based Communication has been devised for exchanging data with low cost, minimal maintenance, and for more convenience. These communications are used in various applications like monitoring, surveillance, defence, healthcare, automation etc. Several routing protocols had been proposed for energy efficient wireless communication and to prolong the network life time. In such protocols, the network design plays a vital role in improving the network performance. The communication strategy among the sensor nodes depend on network design criteria. The paper therefore, presents a novice hierarchical structure based network design and energy efficient routing method for WSN. Here the clusters are formed using fuzzy-multi-criteria decision approach and cluster heads are optimally selected using Analytical Hierarchy Process. The Penguin Search Optimization Algorithm is used for diversified and intensified strategic planning for both intra-cluster and inter-cluster communication. The proposed technique is compared with existing techniques on multiple parameters and found to perform better. It shows a throughput of 0.95 Mbps and minimal energy consumption of 0.35mj and proving it to be energy efficient.

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  1. Computer Science & Engineering Department, Thapar Institute of Engineering & Technology, Patiala, 147004, Punjab, India

    Sharad Saxena & Deepak Mehta

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  1. Sharad Saxena
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  2. Deepak Mehta
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All authors have made substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data; or the creation of new software used in the work. All authors have drafted the work or revised it critically for important intellectual content.

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Correspondence to Deepak Mehta.

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Saxena, S., Mehta, D. An Adaptive Fuzzy-Based Clustering and Bio-Inspired Energy Efficient Hierarchical Routing Protocol for Wireless Sensor Networks. Wireless Pers Commun 120, 2887–2906 (2021). https://doi.org/10.1007/s11277-021-08590-1

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