DocumentCode
576804
Title
Accurate Coverage of Complex Targets in Three-Dimensional Mobile Sensor Networks
Author
Li, Xiang ; Li, Xuanya
Author_Institution
Sch. of Electron. & Comput. Sci. & Technol., North Univ. of China, Taiyuan, China
fYear
2012
fDate
20-22 Sept. 2012
Firstpage
144
Lastpage
150
Abstract
With the rapid development of sensor and communication technology, wireless sensor networks (WSNs) have become a new emerging type of real-world applications. With the escalating exploration missions, two-dimensional(2D) WSNs can not meet demand. Therefore, we present an accurate coverage of complex target algorithm in three-dimensional(3D)mobile sensor network in this paper. The algorithm is a mobile deployment algorithm which is based on a traditional virtual force algorithm (VFA). We proposed the innovative concept which combine adaptive adjustment of the center of the forces with the target repulsion network. In this way, node cluster can be deployed adaptively to meet mission needs according to the different probe target shape. As we can see from the experimental results, we propose a new 3D deployment algorithm based on the complexity of the target coverage in the different forms of the target than the VFA algorithm to achieve higher coverage and balanced.
Keywords
mobile radio; wireless sensor networks; 3D deployment algorithm; VFA algorithm; communication technology; complex targets accurate coverage; target repulsion network; three-dimensional mobile sensor networks; two-dimensional WSN; virtual force algorithm; wireless sensor networks; Algorithm design and analysis; Complexity theory; Force; Heuristic algorithms; Mobile communication; Shape; Wireless sensor networks; accurate coverage; three-dimension space; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Embedded Multicore Socs (MCSoC), 2012 IEEE 6th International Symposium on
Conference_Location
Aizu-Wakamatsu
Print_ISBN
978-1-4673-2535-6
Electronic_ISBN
978-0-7695-4800-5
Type
conf
DOI
10.1109/MCSoC.2012.18
Filename
6354691
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