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Issue No.02 - Feb. (2013 vol.12)
pp: 333-345
Yuan He , Sch. of Software, Tsinghua Univ., Beijing, China
Yunhao Liu , Sch. of Software, Tsinghua Univ., Beijing, China
Xingfa Shen , Coll. of Comput. Sci., Hangzhou Dianzi Univ., Hangzhou, China
Lufeng Mo , Sch. of Inf. Eng., Zhejiang Agric. & Forestry Univ., Hangzhou, China
Guojun Dai , Coll. of Comput. Sci., Hangzhou Dianzi Univ., Hangzhou, China
Recent advances in the application field increasingly demand the use of wireless camera sensor networks (WCSNs), for which localization is a crucial task to enable various location-based services. Most of the existing localization approaches for WCSNs are essentially interactive, i.e., require the interaction among the nodes throughout the localization process. As a result, they are costly to realize in practice, vulnerable to sniffer attacks, inefficient in energy consumption and computation. In this paper, we propose LISTEN, a noninteractive localization approach. Using LISTEN, every camera sensor node only needs to silently listen to the beacon signals from a mobile beacon node and capture a few images until determining its own location. We design the movement trajectory of the mobile beacon node, which guarantees to locate all the nodes successfully. We have implemented LISTEN and evaluated it through extensive experiments. Both the analytical and experimental results demonstrate that it is accurate, cost-efficient, and especially suitable for WCSNs that consist of low-end camera sensors.
wireless sensor networks, cameras, energy consumption, image sensors, mobility management (mobile radio), beacon signals, wireless camera sensor networks, location-based services, WCSNs, energy consumption, LISTEN, noninteractive localization approach, camera sensor node, mobile beacon node, Sensors, Cameras, Wireless sensor networks, Mobile communication, Mobile computing, Global Positioning System, Image sensors, mobile, Wireless camera sensor network, localization
Yuan He, Yunhao Liu, Xingfa Shen, Lufeng Mo, Guojun Dai, "Noninteractive Localization of Wireless Camera Sensors with Mobile Beacon", IEEE Transactions on Mobile Computing, vol.12, no. 2, pp. 333-345, Feb. 2013, doi:10.1109/TMC.2011.278
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