Differential Evolution Algorithm with Diversified Vicinity Operator for Optimal Routing and Clustering of Energy Efficient Wireless Sensor Networks
Joint Authors
Victoire, T. Aruldoss Albert
Sumithra, Subramaniam
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-01
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Due to large dimension of clusters and increasing size of sensor nodes, finding the optimal route and cluster for large wireless sensor networks (WSN) seems to be highly complex and cumbersome.
This paper proposes a new method to determine a reasonably better solution of the clustering and routing problem with the highest concern of efficient energy consumption of the sensor nodes for extending network life time.
The proposed method is based on the Differential Evolution (DE) algorithm with an improvised search operator called Diversified Vicinity Procedure (DVP), which models a trade-off between energy consumption of the cluster heads and delay in forwarding the data packets.
The obtained route using the proposed method from all the gateways to the base station is comparatively lesser in overall distance with less number of data forwards.
Extensive numerical experiments demonstrate the superiority of the proposed method in managing energy consumption of the WSN and the results are compared with the other algorithms reported in the literature.
American Psychological Association (APA)
Sumithra, Subramaniam& Victoire, T. Aruldoss Albert. 2015. Differential Evolution Algorithm with Diversified Vicinity Operator for Optimal Routing and Clustering of Energy Efficient Wireless Sensor Networks. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1079065
Modern Language Association (MLA)
Sumithra, Subramaniam& Victoire, T. Aruldoss Albert. Differential Evolution Algorithm with Diversified Vicinity Operator for Optimal Routing and Clustering of Energy Efficient Wireless Sensor Networks. The Scientific World Journal No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1079065
American Medical Association (AMA)
Sumithra, Subramaniam& Victoire, T. Aruldoss Albert. Differential Evolution Algorithm with Diversified Vicinity Operator for Optimal Routing and Clustering of Energy Efficient Wireless Sensor Networks. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1079065
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079065