DocumentCode
2671154
Title
An improved visual force algorithm for node deployment strategy in wireless sensor network
Author
Bao, Xirong ; Yang, Ming ; Zhang, Xuefeng
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2012
fDate
23-25 May 2012
Firstpage
2216
Lastpage
2219
Abstract
The effectiveness of cluster-based distributed sensor networks depends to a large extent on the coverage provided by the sensor deployment. In this paper, an improved visual forces based sensor deployment algorithm, namely URE-VFA (Uncovered Region Exploration and Visual Force Algorithm), is proposed to enhance the coverage after an initial random deployment of sensors. The new algorithm decides a new location on not only the combination of attractive and repulsive forces but the uncovered region around sensors. Once the effective sensor positions are identified, a onetime movement with energy consideration incorporated is carried out, i.e., the sensors are redeployed to these positions. Compared with the performance of VFA, the new algorithm provides better coverage than that by VFA in less number of iterations with the same number of sensor nodes. Compared with that of UREA, new algorithm reduces the average mobile distance of nodes so as to save energy consumption. The simulation shows this algorithm provides better coverage than that by VFA, and it reduces power consumption.
Keywords
iterative methods; power consumption; wireless sensor networks; URE-VFA; UREA; attractive forces; cluster-based distributed sensor networks; energy consumption; iterations; node deployment strategy; power consumption; repulsive forces; sensor deployment; uncovered region exploration-visual force algorithm; visual force algorithm; wireless sensor network; Clustering algorithms; Force; Mobile communication; Mobile computing; Robot sensing systems; Wireless sensor networks; Coverage; Deployment Algorithm; Mobility; WSNs;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244355
Filename
6244355
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