Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm

Author

Kuawattanaphan, Rungrote ; Kumrai, Teerawat ; Champrasert, Paskorn

Author_Institution

Dept. of Comput. Eng., Chiang Mai Univ., Chiang Mai, Thailand

fYear

2013

fDate

22-25 Oct. 2013

Firstpage

1

Lastpage

6

Abstract

This paper proposes to apply a multiobjective optimization evolutionary algorithm in wireless sensor node redeployment process to improve network lifetime and sensing coverage. The multiobjective optimization uses a population of individuals, each of which represents a set of wireless sensor node positions, and evolves them via the genetic operations for seeking optimal sensing coverage and network lifetime. The data transmission success rate and the total moving cost are also added as constraints. Simulation results show that the proposed multiobjective optimization evolutionary algorithm outperforms a well-known existing evolutionary algorithm for multiobjective optimization.

Keywords

evolutionary computation; sensor placement; telecommunication power management; wireless sensor networks; data transmission; multiobjective optimization evolutionary algorithm; network lifetime; sensing coverage; wireless sensor node position; wireless sensor nodes redeployment; Data communication; Evolutionary computation; Optimization; Routing protocols; Sensors; Wireless communication; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2013 - 2013 IEEE Region 10 Conference (31194)

Conference_Location

Xi´an

ISSN

2159-3442

Print_ISBN

978-1-4799-2825-5

Type

conf

DOI

10.1109/TENCON.2013.6719022

Filename

6719022