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Enhanced performance of consensus wireless sensor controlled system via particle swarm optimization algorithm
Other Title(s)
تحسين أداء منظومة مسيطرة للكشاف اللاسلكي الجمعي بواسطة خوارزمية حشد الجسيمات الأمثلية
Joint Authors
Hasan, Ahmad Mazhar
Khattar, Karrar Ghalib
Rafat, Safanah Mazhar
Source
Issue
Vol. 23, Issue 9 (30 Sep. 2017), pp.63-77, 15 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2017-09-30
Country of Publication
Iraq
No. of Pages
15
Main Subjects
Abstract EN
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 applied to obtain best NOI.
The implementation of an intelligent 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.
American Psychological Association (APA)
Rafat, Safanah Mazhar& Hasan, Ahmad Mazhar& Khattar, Karrar Ghalib. 2017. Enhanced performance of consensus wireless sensor controlled system via particle swarm optimization algorithm. Journal of Engineering،Vol. 23, no. 9, pp.63-77.
https://search.emarefa.net/detail/BIM-793979
Modern Language Association (MLA)
Rafat, Safanah Mazhar…[et al.]. Enhanced performance of consensus wireless sensor controlled system via particle swarm optimization algorithm. Journal of Engineering Vol. 23, no. 9 (Sep. 2017), pp.63-77.
https://search.emarefa.net/detail/BIM-793979
American Medical Association (AMA)
Rafat, Safanah Mazhar& Hasan, Ahmad Mazhar& Khattar, Karrar Ghalib. Enhanced performance of consensus wireless sensor controlled system via particle swarm optimization algorithm. Journal of Engineering. 2017. Vol. 23, no. 9, pp.63-77.
https://search.emarefa.net/detail/BIM-793979
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 72-77
Record ID
BIM-793979