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Dynamic time window based full-view coverage maximization in CSNs

Author

Listed:
  • Jingfang Su

    (Harbin Institute of Technology (Shenzhen))

  • Zeqing Li

    (Harbin Institute of Technology (Shenzhen))

  • Hongwei Du

    (Harbin Institute of Technology (Shenzhen))

  • Shengxin Liu

    (Harbin Institute of Technology (Shenzhen))

Abstract

In order to maximize full-view coverage of moving targets in Camera Sensor Networks (CSNs), a novel method known as “group set cover” is presented in this research. Choosing the best camera angles and placements to accomplish full-view coverage of the moving targets is one of the main focuses of the research in CSNs. Discretize the target into multiple views of [0, 2 $$\pi $$ π ], use a set of views of targets to represent the sensing direction of the camera sensor, and use a group set of views of targets to represent the position of the camera sensor. The total number of targets in a dynamic time window that is visible in full view is calculated. A mixed integer linear programming formulation is employed, which is then approximated using a random rounding method. This approximation approach offers a global estimation of local optimality, particularly for non-submodular optimization problems. Two methods for maximizing overall full-view coverage within a dynamic time window are proposed TSC-FTC-DTW and FTC-TW-DTW. Finally, the proposed methods are verified through experiments.

Suggested Citation

  • Jingfang Su & Zeqing Li & Hongwei Du & Shengxin Liu, 2024. "Dynamic time window based full-view coverage maximization in CSNs," Journal of Combinatorial Optimization, Springer, vol. 48(5), pages 1-18, December.
    • Handle: RePEc:spr:jcomop:v:48:y:2024:i:5:d:10.1007_s10878-024-01227-6
    DOI: 10.1007/s10878-024-01227-6
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    References listed on IDEAS

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    1. Weili Wu & Zhao Zhang & Wonjun Lee & Ding-Zhu Du, 2020. "Optimal Coverage in Wireless Sensor Networks," Springer Optimization and Its Applications, Springer, number 978-3-030-52824-9, December.
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