Energy-efficient routing using novel optimization with Tabu techniques for Wireless Sensor Network

Ahmed Hamza, Manar and Hassan Abdalla Hashim, Aisha and H. Elkamchouchi, Dalia and Nemri, Nadhem and S. Alzahrani, Jaber and Sayed A. Aziz, Amira and Ahmed Ibrahim, Mnahel and Motwakel, Abdelwahed (2022) Energy-efficient routing using novel optimization with Tabu techniques for Wireless Sensor Network. Computer Systems Science and Engineering, 45 (2). pp. 1711-1726. ISSN 0267-6192

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Abstract

Wireless Sensor Network (WSN) consists of a group of limited energy source sensors that are installed in a particular region to collect data from the environment. Designing the energy-efficient data collection methods in largescale wireless sensor networks is considered to be a difficult area in the research. Sensor node clustering is a popular approach for WSN. Moreover, the sensor nodes are grouped to form clusters in a cluster-based WSN environment. The battery performance of the sensor nodes is likewise constrained. As a result, the energy efficiency of WSNs is critical. In specific, the energy usage is influenced by the loads on the sensor node as well as it ranges from the Base Station (BS). Therefore, energy efficiency and load balancing are very essential in WSN. In the proposed method, a novel Grey Wolf Improved Particle Swarm Optimization with Tabu Search Techniques (GW-IPSO-TS) was used. The selection of Cluster Heads (CHs) and routing path of every CH from the base station is enhanced by the proposed method. It provides the best routing path and increases the lifetime and energy efficiency of the network. End-to-end delay and packet loss rate have also been improved. The proposed GW-IPSO-TS method enhances the evaluation of alive nodes, dead nodes, network survival index, convergence rate, and standard deviation of sensor nodes. Compared to the existing algorithms, the proposed method outperforms better and improves the lifetime of the network.

Item Type:	Article (Review)
Uncontrolled Keywords:	Wireless sensor networks; energy-efficient; load balancing; energy consumption; network’s lifetime; cluster heads; grey wolf optimization; tabu search; particle swarm optimization
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited:	14 Dec 2022 16:13
Last Modified:	14 Dec 2022 16:13
URI:	http://irep.iium.edu.my/id/eprint/101876

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