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A type of energy-efficient target tracking approach based on grids in sensor networks

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Abstract

To enhance the reliability as well as the value of sensing data in Wireless Sensor Networks (WSNs), a type of Energy-efficient Target Tracking Approach (ETTA) is proposed in this paper. The sensor network is divided into several virtual grids for distributed tracking and three kinds of states (tracking state, prepared-tracking state and preparing-tracking state) of these grids are also proposed to reduce energy consumption and enhance the accuracy of node localization. Moreover, a tracking recovery strategy is also described in this paper that effectively enhance the robustness of the tracking system. Experiment results show that ETTA has a good performance on target tracking in sensor networks compared to BPS and EMTT.

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Funding

The subject is sponsored by the National Natural Science Foundation of P.R. China (61872194), Jiangsu Natural Science Foundation for Excellent Young Scholar (BK20160089), Six Talent Peaks Project of Jiangsu Province (JNHB-095), “333” Project of Jiangsu Province, Qing Lan Project of Jiangsu Province, Innovation Project for Postgraduate of Jiangsu Province (KYCX17_0796, KYCX17_0797, SJCX17_0238, SJCX18_0295) and 1311 Talents Project of Nanjing University of Posts and Telecommunications.

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Authors and Affiliations

  1. School of Computer Science, Software and Cyberspace Security, Nanjing University of Posts and Telecommunications, Nanjing, 210023, Jiangsu, China

    Chao Sha, Lian-hua Zhong, Dan-dan Song & Chun-hui Ren

  2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, 210023, Jiangsu, China

    Chao Sha, Lian-hua Zhong, Dan-dan Song & Chun-hui Ren

  3. School of Oversea Education, Nanjing University of Posts and Telecommunications, Nanjing, 210023, Jiangsu, China

    Yao Bian

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  1. Chao Sha
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  2. Lian-hua Zhong
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  3. Yao Bian
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  4. Dan-dan Song
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  5. Chun-hui Ren
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Correspondence to Chao Sha.

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Sha, C., Zhong, Lh., Bian, Y. et al. A type of energy-efficient target tracking approach based on grids in sensor networks. Peer-to-Peer Netw. Appl. 12, 1041–1060 (2019). https://doi.org/10.1007/s12083-019-00744-0

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