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Following targets for mobile tracking in wireless sensor networks

Wang, Tian, Peng, Zhen, Liang, Junbin, Wen, Sheng, Bhuiyan, Md Zakirul Alam, Cai, Yigiao and Cao, Jiannong 2016, Following targets for mobile tracking in wireless sensor networks, ACM transactions on sensor networks, vol. 12, no. 4, pp. 31.1-31.24, doi: 10.1145/2968450.

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Title Following targets for mobile tracking in wireless sensor networks
Author(s) Wang, Tian
Peng, Zhen
Liang, Junbin
Wen, Sheng
Bhuiyan, Md Zakirul Alam
Cai, Yigiao
Cao, Jiannong
Journal name ACM transactions on sensor networks
Volume number 12
Issue number 4
Start page 31.1
End page 31.24
Total pages 24
Publisher ACM Press
Place of publication New York, N.Y.
Publication date 2016-09-01
ISSN 1550-4859
1550-4867
Keyword(s) wireless sensor networks
target tracking
mobile nodes
Summary Traditional tracking solutions in wireless sensor networks based on fixed sensors have several critical problems. First, due to the mobility of targets, a lot of sensors have to keep being active to track targets in all potential directions, which causes excessive energy consumption. Second, when there are holes in the deployment area, targets may fail to be detected when moving into holes. Third, when targets stay at certain positions for a long time, sensors surrounding them have to suffer heavier work pressure than do others, which leads to a bottleneck for the entire network. To solve these problems, a few mobile sensors are introduced to follow targets directly for tracking because the energy capacity of mobile sensors is less constrained and they can detect targets closely with high tracking quality. Based on a realistic detection model, a solution of scheduling mobile sensors and fixed sensors for target tracking is proposed. Moreover, the movement path of mobile sensors has a provable performance bound compared to the optimal solution. Results of extensive simulations show that mobile sensors can improve tracking quality even if holes exist in the area and can reduce energy consumption of sensors effectively.
Language eng
DOI 10.1145/2968450
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, ACM Press
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089068

Document type: Journal Article
Collection: School of Information Technology
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