KSII Transactions on Internet and Information Systems (TIIS)

  • 제15권12호
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  • Pages.4492-4507
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  • 2021
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Sensor Density for Full-View Problem in Heterogeneous Deployed Camera Sensor Networks

  • Liu, Zhimin (School of Mathematics and Computational Science, Hunan First Normal University) ;
  • Jiang, Guiyan (School of Economics, Wuhan University of Technology)
  • 투고 : 2021.05.12
  • 심사 : 2021.10.11
  • 발행 : 2021.12.31
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초록

In camera sensor networks (CSNs), in order to better identify the point, full-view problem requires capture any facing direction of target (point or intruder), and its coverage prediction and sensor density issues are more complicated. At present, a lot of research supposes that a large number of homogeneous camera sensors are randomly distributed in a bounded square monitoring region to obtain full-view rate which is close to 1. In this paper, we deduce the sensor density prediction model in heterogeneous deployed CSNs with arbitrary full-view rate. Aiming to reduce the influence of boundary effect, we introduce the concepts of expanded monitoring region and maximum detection area. Besides, in order to verify the performance of the proposed sensor density model, we carried out different scenarios in simulation experiments to verify the theoretical results. The simulation results indicate that the proposed model can effectively predict the sensor density with arbitrary full-view rate.

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참고문헌

  1. B. Cheng et al., "Multiple Region of Interest Coverage in Camera Sensor Networks for Tele-Intensive Care Units," IEEE Transactions on Industrial Informatics, vol. 126, no. 6, pp. 2331-2341, 2016. https://doi.org/10.1109/TII.2016.2574305
  2. N. Kumar, J.H. Lee and J.J.P.C Rodrigues, "Intelligent Mobile Video Surveillance System as a Bayesian Coalition Game in Vehicular Sensor Networks: Learning Automata Approach," IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 3, pp. 1148-1161, 2015. https://doi.org/10.1109/TITS.2014.2354372
  3. K.R. Konda, J. Conci and F.D. Natale, "Global Coverage Maximization in PTZ-Camera Networks Based on Visual Quality Assessment," IEEE Sensors Journal, vol. 16, no. 16, pp. 6317-6332, 2016. https://doi.org/10.1109/JSEN.2016.2584179
  4. H.D. Ma and D. Tao, "Multimedia sensor network and its research progresses," Journal of Software (in chinese journal), vol. 17, no. 9, pp. 2013-2028, 2006. https://doi.org/10.1360/jos172013
  5. Y. Wang and G.H. Cao, "On full-view coverage in camera sensor networks," in Proc. of INFOCOM, pp. 1781-1989, 2011.
  6. Y. Wang and G.H. Cao, "Achieving Full-View Coverage in Camera Sensor Networks," ACM Transactions on Sensor Networks, vol. 10, no. 1, pp. 1-31, 2013.
  7. Y.T. Hu, X.B. Wang and X.Y. Gan, "Critical sensing range for mobile heterogeneous camera sensor networks," in Proc. of INFOCOM, pp. 970-978, 2014.
  8. X.Y. Gan et al., "Unraveling Impact of Critical Sensing Range on Mobile Camera Sensor Networks," IEEE Transactions on Mobile Computing, vol. 19, no. 4, pp. 982-996, 2020. https://doi.org/10.1109/tmc.2019.2901478
  9. Z.M. Yu et al., "Local face-view barrier coverage in camera sensor networks," in Proc. of INFOCOM, pp. 684-692, 2015.
  10. Y. Wang and G.H. Cao, "Barrier coverage in camera sensor networks," in Proc. of MOBIHOC, pp. 1-12, 2011.
  11. X. Liu, "Full-view barrier coverage in mobile camera sensor networks," Wireless, Networks, vol. 25, pp. 4773-4784, 2019. https://doi.org/10.1007/s11276-018-1764-6
  12. R. Yang et al., "Distributed Algorithm for Full-View Barrier Coverage with Rotatable Camera Sensors," in Proc. of GLOBECOM, pp. 1-6, 2014.
  13. C. Gan et al., "Self-orienting the cameras for maximizing the view-coverage ratio in camera sensor networks," Pervasive and Mobile Computing, vol. 17, no. 17, pp. 102-121, 2015. https://doi.org/10.1016/j.pmcj.2014.04.002
  14. S.B. He et al., "Full-View Area Coverage in Camera Sensor Networks: Dimension Reduction and Near-Optimal Solutions," IEEE Transactions on Vehicular Technology, vol. 65, no. 9, pp. 7448-7461, 2016. https://doi.org/10.1109/TVT.2015.2498281
  15. Q. Zhang, S.B. He and J.M. Chen, "Toward Optimal Orientation Scheduling for Full-View Coverage in Camera Sensor Networks," in Proc. of GLOBECOM, pp. 1-6, 2016.
  16. J.M. Chen et al., "Orientation Optimization for Full-View Coverage Using Rotatable Camera Sensors," IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10508-10518, 2019. https://doi.org/10.1109/jiot.2019.2939431
  17. Z.M. Liu et al., "k -Coverage Estimation Problem in Heterogeneous Camera Sensor Networks With Boundary Deployment," IEEE Access, vol. 6, pp. 2825-2833, 2017. https://doi.org/10.1109/access.2017.2785393
  18. P.K. Khan et al., "Social Network chatting apps network traffic optimization," Indian Journal of Science and Technology, vol. 11, pp. 1-6, 2017. https://doi.org/10.17485/ijst/2017/v10i32/117001