An Energy Distance Aware Clustering Protocol with Dual Cluster Heads Using Niching Particle Swarm Optimization for Wireless Sensor Networks
Joint Authors
Source
Journal of Control Science and Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-11
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Energy efficient utilization is an important criteria and factor that affects the design of wireless sensor networks (WSNs).
In this literature, we propose an energy distance aware clustering protocol with Dual Cluster Heads using Niching Particle Swarm Optimization (DCH-NPSO).
The protocol selects two cluster heads in each cluster, the Master Cluster Head (MCH) and the Slave Cluster Head (SCH), and the selection needs to consider the network state information carefully and deliberately.
Simulation results show that the protocol we proposed can balance the energy dissipation and extend the network lifetime effectively.
American Psychological Association (APA)
Ma, Dexin& Xu, Pengmin. 2015. An Energy Distance Aware Clustering Protocol with Dual Cluster Heads Using Niching Particle Swarm Optimization for Wireless Sensor Networks. Journal of Control Science and Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1067810
Modern Language Association (MLA)
Ma, Dexin& Xu, Pengmin. An Energy Distance Aware Clustering Protocol with Dual Cluster Heads Using Niching Particle Swarm Optimization for Wireless Sensor Networks. Journal of Control Science and Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1067810
American Medical Association (AMA)
Ma, Dexin& Xu, Pengmin. An Energy Distance Aware Clustering Protocol with Dual Cluster Heads Using Niching Particle Swarm Optimization for Wireless Sensor Networks. Journal of Control Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1067810
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1067810