Record Details

Enhanced Performance of Consensus Wireless Sensor Controlled System via Particle Swarm Optimization Algorithm

Journal of Engineering


Field	Value

Title	Enhanced Performance of Consensus Wireless Sensor Controlled System via Particle Swarm Optimization Algorithm

Creator	Raafat, Safanah Mudheher Hasan, Ahmed Mudheher Ghalib, Karar

Description	This paper describes the application of consensus optimization for Wireless Sensor Network (WSN) system. Consensus algorithm is usually conducted within a certain number of iterations for a given graph topology. Nevertheless, the best Number of Iterations (NOI) to reach consensus is varied in accordance with any change in number of nodes or other parameters of . graph topology. As a result, a time consuming trial and error procedure will necessary be appliedto obtain best NOI. The implementation of an intellig ent optimization can effectively help to get the optimal NOI. The performance of the consensus algorithm has considerably been improved by the inclusion of Particle Swarm Optimization (PSO). As a case study, variable number of nodes in a network with a random graph topology has been considered. Simulation results show that significant reduction in the NOI and power consumption has been achieved, where it decreased the NOI about 40 iteration; when using PSO for different number of nodes in the specified network.

Publisher	College of Engineering \| University of Baghdad

Date	2017-08-31

Type	info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article

Format	application/pdf

Identifier	http://joe.uobaghdad.edu.iq/index.php/main/article/view/83

Source	مجلة الهندسة; مجلد 23 عدد 9 (2017): Journal of Engineering (Eng. J.); 63-77 Journal of Engineering; Vol 23 No 9 (2017): Journal of Engineering (Eng. J.); 63-77 2520-3339 1726-4073

Language	eng

Relation	http://joe.uobaghdad.edu.iq/index.php/main/article/view/83/74

Rights	Copyright (c) 2017 Eng. J.