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Design of Evolutionary Algorithm Based Unequal Clustering for Energy Aware Wireless Sensor Networks

Mohammed Altaf Ahmed1, T. Satyanarayana Murthy2, Fayadh Alenezi3, E. Laxmi Lydia4, Seifedine Kadry5,6,7, Yena Kim8, Yunyoung Nam8,*

1 Department of Computer Engineering, College of Computer Engineering & Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia
2 Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India
3 Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia
4 Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, 530049, India
5 Department of Applied Data Science, Noroff University College, Kristiansand, Norway
6 Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon
7 Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates
8 Department of ICT Convergence, Soonchunhyang University, Asan 31538, Korea

* Corresponding Author: Yunyoung Nam. Email: email

Computer Systems Science and Engineering 2023, 47(1), 1283-1297. https://doi.org/10.32604/csse.2023.035786

Abstract

Wireless Sensor Networks (WSN) play a vital role in several real-time applications ranging from military to civilian. Despite the benefits of WSN, energy efficiency becomes a major part of the challenging issue in WSN, which necessitate proper load balancing amongst the clusters and serves a wider monitoring region. The clustering technique for WSN has several benefits: lower delay, higher energy efficiency, and collision avoidance. But clustering protocol has several challenges. In a large-scale network, cluster-based protocols mainly adapt multi-hop routing to save energy, leading to hot spot problems. A hot spot problem becomes a problem where a cluster node nearer to the base station (BS) tends to drain the energy much quicker than other nodes because of the need to implement more transmission. This article introduces a Jumping Spider Optimization Based Unequal Clustering Protocol for Mitigating Hotspot Problems (JSOUCP-MHP) in WSN. The JSO algorithm is stimulated by the characteristics of spiders naturally and mathematically modelled the hunting mechanism such as search, persecution, and jumping skills to attack prey. The presented JSOUCP-MHP technique mainly resolves the hot spot issue for maximizing the network lifespan. The JSOUCP-MHP technique elects a proper set of cluster heads (CHs) using average residual energy (RE) to attain this. In addition, the JSOUCP-MHP technique determines the cluster sizes based on two measures, i.e., RE and distance to BS (DBS), showing the novelty of the work. The proposed JSOUCP-MHP technique is examined under several experiments to ensure its supremacy. The comparison study shows the significance of the JSOUCP-MHP technique over other models.

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Cite This Article

APA Style
Ahmed, M.A., Murthy, T.S., Alenezi, F., Lydia, E.L., Kadry, S. et al. (2023). Design of evolutionary algorithm based unequal clustering for energy aware wireless sensor networks. Computer Systems Science and Engineering, 47(1), 1283-1297. https://doi.org/10.32604/csse.2023.035786
Vancouver Style
Ahmed MA, Murthy TS, Alenezi F, Lydia EL, Kadry S, Kim Y, et al. Design of evolutionary algorithm based unequal clustering for energy aware wireless sensor networks. Comput Syst Sci Eng. 2023;47(1):1283-1297 https://doi.org/10.32604/csse.2023.035786
IEEE Style
M.A. Ahmed et al., "Design of Evolutionary Algorithm Based Unequal Clustering for Energy Aware Wireless Sensor Networks," Comput. Syst. Sci. Eng., vol. 47, no. 1, pp. 1283-1297. 2023. https://doi.org/10.32604/csse.2023.035786



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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