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Delay-Tolerant Rendezvous-Based Data Collection for Target Tracking in Large-Scale Wireless Sensor Networks with UGV

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Artificial Intelligence and Security (ICAIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11633))

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Abstract

Energy efficiency receives significant attention in wireless sensor networks. In this paper, a UGV is employed as an energy-efficient solution to prolong the network lifetime in target tracking. Data collection strategies for target tracking are investigated including the amount of data and the transmitted distances. For contributed data, the quantization technology is exploited for energy efficiency. Considering the uncertainty of sensing data, we determine a group from intra-cluster members to gather data. And then, we formulate our design a selection optimization problem, maximizing the utilization of the quality of contributed data using information matrix. As a result, we develop an optimization algorithm named rendezvous-based data collection (RDC). Furthermore, two stages of data collection for target tracking are analyzed with a UGV. Simulations verify that the proposed scheme achieves network energy saving as well as energy balance in the framework of target tracking.

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Acknowledgment

This work was supported by the Foundation of Nanjing University of Information Science and Technology (Grant No. 2241101201101), Open Foundation of Education Ministry Demonstration Base of Internet Application Innovation Open Platform (Meteorological Cloud Platform and Application) (Grant No. 2201101401063), PAPD and Jiangsu Government Scholarship for Overseas Studies.

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Authors and Affiliations

  1. College of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Jian Zhang

  2. Jiangsu Engineering Center of Network Monitoring, Nanjing, 210044, China

    Jian Zhang & Jiang Xu

  3. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China

    Tianbao Wang

Authors
  1. Jian Zhang
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  2. Jiang Xu
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  3. Tianbao Wang
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Corresponding author

Correspondence to Jian Zhang .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Zhang, J., Xu, J., Wang, T. (2019). Delay-Tolerant Rendezvous-Based Data Collection for Target Tracking in Large-Scale Wireless Sensor Networks with UGV. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11633. Springer, Cham. https://doi.org/10.1007/978-3-030-24265-7_29

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  • DOI: https://doi.org/10.1007/978-3-030-24265-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24264-0

  • Online ISBN: 978-3-030-24265-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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