A novel bio-inspired routing algorithm based on ACO for WSNs

Sharmin, Afsah and Anwar, Farhat and Motakabber, S. M. A. (2019) A novel bio-inspired routing algorithm based on ACO for WSNs. Bulletin of Electrical Engineering and Informatics, 8 (2). pp. 718-728. ISSN 2089-3191 E-ISSN 2302-9285

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Abstract

The methods to achieve efficient routing in energy-constrained wireless sensor networks (WSNs) is a fundamental issue in networking research. A novel approach of ant colony optimization (ACO) algorithm for discovering the optimum route for information transmission in the WSNs is proposed here for optimization and enhancement. The issue of path selection to reach the nodes and vital correspondence parameters, for example, the versatility of nodes, their constrained vitality, the node residual energy and route length are considered since the communications parameters and imperatives must be taken into account by the imperative systems that mediate in the correspondence procedure, and the focal points of the subterranean insect framework have been utilized furthermore. Utilizing the novel technique and considering both the node mobility and the existing energy of the nodes, an optimal route and best cost from the originating node to the target node can be detected. The proposed algorithm has been simulated and verified using MATLAB and the simulation results demonstrate that new ACO based algorithm achieved improved performance, about 30% improvement compared with the traditional ACO algorithm, and faster convergence to determine the best cost route, and recorded an improvement in the energy consumption of the nodes per transmission.

Item Type:	Article (Journal)
Additional Information:	3276/76051
Uncontrolled Keywords:	ABC, ACO algorithm, IoT, Network, PSO, Routing, WSN
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television 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 Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Farhat Anwar
Date Deposited:	20 Nov 2019 15:39
Last Modified:	04 Dec 2019 09:03
URI:	http://irep.iium.edu.my/id/eprint/76051

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