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Wireless Networks

, Volume 25, Issue 8, pp 4773–4784 | Cite as

Full-view barrier coverage in mobile camera sensor networks

  • Xiaolan Liu
  • Bin YangEmail author
  • Guilin Chen
Article
  • 134 Downloads

Abstract

Barrier coverage is an important problem in wireless camera sensor networks for many security applications such as border monitoring and target detection, where camera sensors are used for detecting targets that penetrate the protected area. The full-view coverage is an effective approach of camera barrier coverage which can capture multiple viewpoints of the target crossing the protected area. Existing works on full-view barrier coverage mainly consider static and rotatable camera sensors, which leads to a waste of camera sensors under the limitation of sensing angles and coverage areas. In this paper, we study full-view barrier coverage in mobile camera sensor networks, where camera sensors can randomly move within the deployed area. Specially, we first propose full-view covered model of mobile camera sensors. With this model, we then divide the deployed area into some connected grids and present grid-based deployment strategy to deploy camera sensors for each grid. Finally, we construct a weighted directed graph to model these connected grids and their relationship. Based on the graph, we employ Dijkstras algorithm to obtain a shortest coverage barrier, which is a connected full-view coverage zone across the entire target area. Extensive simulation and theoretical results are provided to illustrate the efficient of our covered models as well as our proposed algorithm in reducing the number of camera sensors and improving coverage probability.

Keywords

Barrier coverage Full-view coverage Grid-based deployment strategy Mobile camera sensor Weighted directed graph 

Notes

Acknowledgements

This work was supported by the NSF of China Grant 61472057, the NSF of Anhui Grant 1808085MF165, the Anhui Education Department Grants gxyqZD2016331,KJ2017A425 and KJ2015B15, the Anhui Province’s Department of Human Resources and Social Security for the Returned Overseas Chinese Scholars, and the Chuzhou University Grant zrjz2017003.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Computer and Information EngineeringChuzhou UniversityChuzhouChina

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