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

被引：0
作者：
Chao Sha
Lian-hua Zhong
Yao Bian
Dan-dan Song
Chun-hui Ren
机构：
[1] Nanjing University of Posts and Telecommunications,School of Computer Science, Software and Cyberspace Security
[2] Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks,School of Oversea Education
[3] Nanjing University of Posts and Telecommunications,undefined
来源：
Peer-to-Peer Networking and Applications | 2019年 / 12卷
关键词：
Sensor networks; Target tracking; Virtual grids; Energy-efficient; Network lifetime;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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收藏
页码：1041 / 1060
页数：19
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  • [1] Jiang W(2018)A multi-sensor positioning method-based train localization system for low density line[J] IEEE Trans Veh Technol 67 10425-10437
  • [2] Chen SR(2018)Efficient data-forwarding method in delay-tolerant P2P networking for IoT services[J] Peer-to-Peer Networking and Applications 11 1176-1185
  • [3] Cai BG(2016)Following targets for Mobile tracking in wireless sensor networks[J] ACM Transactions on Sensor Networks 12 1-24
  • [4] Kim S(2018)Data aggregation with end-to-end confidentiality and integrity for large-scale wireless sensor networks[J] Peer-to-Peer Networking and Applications 11 1022-1037
  • [5] Kim DY(2017)Improved clustering algorithm based on energy consumption in wireless sensor networks[J] IET Networks 6 47-53
  • [6] Wang T(2016)Distributed object tracking using moving trajectories in wireless sensor networks[J] Wirel Netw 22 2415-2437
  • [7] Peng Z(2018)A high-efficiency data collection method based on maximum recharging benefit in sensor networks[J] Sensors 18 2887-2920
  • [8] Liang J(2018)A type of annulus-based energy balanced data collection method in wireless rechargeable sensor networks[J] Sensors 18 3150-3178
  • [9] Cui J(2019)Kalman filtering framework-based real time target tracking in wireless sensor networks using generalized regression neural networks[J] IEEE Sensors J 19 224-233
  • [10] Shao LL(2018)A proportional time allocation algorithm to transmit binary sensor decisions for target tracking in a wireless sensor network[J] IEEE Trans Signal Process 66 86-100
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