Dynamic object tracking tree in wireless sensor network

Authors:
Min-Xiou Chen;Che-Chen Hu;Wen-Yen Weng
Affiliations:
Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan;Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan;Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan
Venue:
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
Year:
2010

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Abstract

Recent advances in embedded microsensing technologies and low-energy cost sensors have made wireless sensor networks possible. Object tracking is an important research of wireless sensor networks. However, most object tracking tree is constructed based on a predefined mobility profile. When the real object movement behaviors are very different to the predefined mobility profile, the object tracking tree performance will become worse. In the paper, we will propose a dynamic adaptation mechanism, referred to as "Message-Tree Adaptive (MTA)" procedure, to improve the object tracking tree when the predefined mobility profiles do not match. From the simulation results, the performance of the object tracking tree can be significantly improved, when the MTA procedure is performed.