A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

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Fuzzy-based clustering architecture
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Published: Oct 31, 2022
DOI: https://doi.org/10.17762/ijritcc.v10i10.5740
Keywords:
MANET, cluster head, particle swarm optimization, trust stage, trust threshold

Main Article Content

C.V.P.R. Prasad
Professor & Head, Department Of CSE, Malla Reddy Engineering College for Women, Hyderabad
Veera Ankalu. Vuyyuru
Assistant Professor, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522502, A.P, India.
T. Sushma
Assistant Professor, Department of ECE, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, A.P 520007.
Sri Lakshmi Uppalapati
Associate Professor, Department of CSE, VFSTR, (Deemed to be University), Vadlamudi, Guntur-522213, A.P.
G. Apparao
Professor, Department of CSE, GITAM University, Visakhapatnam, India.

Abstract

A Mobile Ad Hoc Networks (MANETs) comprises of the vast range of devices such as sensors, smart phones, laptops and other mobile devices that connect with each other across wireless networks and collaborate in a dispersed fashion to offer network functions in the absence of a permanent infrastructure. The Cluster Head (CH) selection in a clustered MANET is still crucial for lowering each node's energy consumption and increasing the network's lifetime. However, in existing clustering mechanism trust of the all nodes are presumed those causes increased challenge in the MANET environment. Security is a crucial factor when constructing ad-hoc networks. In a MANET, energy consumption in route optimization is dependent on network resilience and connectivity. The primary objective of this study is to design a reliable clustering mechanism for MANETs that takes energy efficiency into account. For trusted energy-efficient CH in the nodes, a safe clustering strategy integrating energy-efficient and fuzzy logic based energy clustering is proposed to address security problems brought about by malicious nodes and to pick a trustworthy node as CH. To improve the problem findings Bat algorithm (BAT) is integrated with Particle Swarm Optimization (PSO). The PSO technique is inspired because it imitates the sociological characteristics of the flock of the birds through random population. The BAT is a metaheuristic algorithm inspired by microbat echolocation behavior that uses pulse average with global optimization of the average path in the network. Hybrid Particle Swarm Optimization (HPSO) and BAT techniques are applied to identify the best route between the source and destination. According to the simulation results, the suggested Fuzzy logic Particle Swarm Optimization BAT (FLPSO-BAT) technique has a minimum latency of 0.0019 milliseconds, with energy consumption value of 0.09 millijoules, maximal throughput of 0.76 bits per sec and detection rate of 90.5% without packet dropping attack.

Article Details

How to Cite
Prasad, C. ., Vuyyuru, V. A., Sushma, T., Uppalapati, S. L. ., & Apparao, G. (2022). A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment. International Journal on Recent and Innovation Trends in Computing and Communication, 10(10), 109–118. https://doi.org/10.17762/ijritcc.v10i10.5740
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Vol. 10 No. 10 (2022): October (2022) Issue
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