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Maximizing target-temporal coverage of mission-driven camera sensor networks

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Abstract

In camera sensor networks (CSNs), the target coverage problem is of special importance since a sensor with different viewing directions captures distinct views for the same target. Furthermore, mission-driven monitoring applications in CSNs usually have special network lifetime requirements in which the limited battery lifetime of sensors probably can not sustain for full coverage. In this paper, based on effective-sensing model, we address three new coverage problems in mission-driven camera sensor networks, namely the target-temporal effective-sensing coverage with non-adjustable cameras (TEC-NC) problem, the target-temporal effective-sensing coverage with adjustable cameras (TEC-AC) problem, and the target-temporal effective-sensing coverage with fully-adjustable cameras (TEC-FAC) problem. Given a mission period, the common objective of the problems is to find a sleep-wakeup schedule such that the overall target-temporal coverage is maximized. For TEC-NC, we propose a 2-approximation algorithm and two new heuristics. We also design two greedy strategies, each of which can be combined with our solutions for TEC-NC to deal with TEC-AC and TEC-FAC, respectively. We finally conduct extensive experiments to evaluate the performance of the proposed algorithms, whose results indicate the proposed algorithms outperform the existing alternatives as well as are close to the theoretical optimum on average under certain conditions.

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References

  • Adriaens J, Megerian S, Potkonjak M (2006) Optimal worst-case coverage of directional field-of-view sensor networks. In: Proceedings of the IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp 336–345

  • Ai J, Abouzeid AA (2006) Coverage by directional sensors in randomly deployed wireless sensor networks. J Comb Optim 11(1):21–41

    Article  MathSciNet  MATH  Google Scholar 

  • Bartolini N, Calamoneri T, Porta TL, Petrioli C, Silvestri S (2012) Sensor activation and radius adaptation (SARA) in heterogeneous sensor networks. ACM Trans Sensor Netw (TOSN) 8(3):111–152

    Google Scholar 

  • Blanz V, Grother P, Phillips PJ, Vetter T (2005) Face recognition based on frontal views generated from non-frontal images. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp 454–461

  • Cai YL, Lou W, Li ML, Li XY (2009) Energy efficient target-oriented scheduling in directional sensor networks. IEEE Trans Comput (TMC) 58(9):1259–1274

    Article  MathSciNet  Google Scholar 

  • Cai Y, Lou W, Li M, Li XY (2007) Target-oriented scheduling in directional sensor networks. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), pp. 1550–1558

  • Cardei M, Du DZ (2005) Improving wireless sensor network lifetime through power aware organization. Wirel Netw 11(3):333–340

    Article  Google Scholar 

  • Cardei M, Thai MT, Li YS, Wu J (2005) Energy-efficient target coverage in wireless sensor networks. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), pp 1976–1982

  • Cardei M, Wu J (2006) Energy-efficient coverage problems in wireless Ad-hoc sensor networks. Comput Commun 29(4):413–420

    Article  Google Scholar 

  • Cheng WF, Li SS, Liao XK, Xiang SC, Chen HT (2007) Maximal coverage scheduling in randomly deployed directional sensor networks. In: Proceedings of the International Conference on Parallel Processing Workshops (ICPPW), pp 68–68

  • Cohen R, Kapchits B (2007) An optimal algorithm for minimizing energy consumption while limiting maximum delay in a mesh sensor network. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), pp 258–266

  • Fusco G, Gupta H (2009) Selection and orientation of directional sensors for coverage maximization. In: Proceedings of the IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp 1–9

  • Han K, Xiang L, Luo J, Liu Y (2012) Minimum-energy connected coverage in wireless sensor networks with omni-directional and directional features. In: Proceedings of the ACM international symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), pp 85–94

  • Hochbaum DS (1997) Approximating covering and packing problems: set cover, vertex cover, independent set, and related problems. In: Hochbaum DS (ed) Approximation algorithms for NP-hard problems. PWS Publishing Co., Boston, pp 94–143

    Google Scholar 

  • Hong Y, Kim D, Li D, Chen W, Tokuta AO, Ding Z (2013) Target-temporal effective-sensing coverage in mission-driven camera sensor networks. In: Proceedings of the International Conference on Computer Communications and Networks (ICCCN), pp 1–9

  • Johnson MP, Bar-Noy A (2011) Pan and scan: configuring cameras for coverage. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), pp 1071–1079

  • Kasbekar GS, Bejerano Y, Sarkar S (2009) Lifetime and coverage guarantees through distributed coordinate-free sensor activation. In: Proceedings of the 15th Annual International Conference on Mobile Computing and Networking (MobiCom), pp 169–180

  • Liu C, Cao GH (2012) Distributed critical location coverage in wireless sensor networks with lifetime constraint. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), pp 1314–1322

  • Liu C, Cao GH (2011) Spatial-temporal coverage optimization in wireless sensor networks. IEEE Trans Mobile Comput (TMC) 10(5):465–478

    Article  Google Scholar 

  • Liu H, Chu XW, Leung YW, Jia XH, Wan PJ (2009) Maximizing lifetime of sensor-target surveillance in wireless sensor networks. In: Proceedings of the IEEE Global Communications Conference (GLOBECOM), pp 1–6

  • Liu L, Ma HD, Zhang X (2008) On directional \(k\)-coverage analysis of randomly deployed camera sensor networks. In: Proceedings of the IEEE International Conference on Communications (ICC), pp 2707–2711

  • Ma H, Liu Y (2005) On coverage problems of directional sensor networks. In: Proceedings of the First International Conference on Mobile Ad-hoc and Sensor Networks (MSN), pp 721–731

  • Ma H, Yang M, Li D, Hong Y, Chen W (2012) Minimum camera barrier coverage in wireless camera sensor networks. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), pp 217–225

  • Nguyen DT, Nguyen NP, Thai MT, Helal S (2011) An optimal algorithm for coverage hole healing in hybrid sensor networks. In: Proceedings of the IEEE International Wireless Communications and Mobile Computing conference (IWCMC), pp 494–499

  • Raytchev B, Yoda I, Sakaue K (2004) Head pose estimation by non-linear manifold learning. In: Proceedings of the International Conference on Pattern Recognition (ICPR), pp 54–65

  • Sanderson C, Shang T, Lovell BC (2007) Towards pose-invariant 2d face classification for surveillance. In: Proceedings of International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), pp 267–289

  • Thai MT, Li Y, Wang F, Du DZ (2007) \(O(\log n)\)-Localized algorithms on the coverage problem in heterogeneous sensor networks. In: Proceedings of the IEEE International Performance Computing and Communications Conference (IPCCC), pp 85–92

  • Thai MT, Wang F, Du H, Jia X (2008) Coverage problems in wireless sensor networks: designs and analysis. Int J Sensor Netw 3(3):191–200

    Article  Google Scholar 

  • Wang C, Thai MT, Li Y, Wang F, Wu W (2009) Optimization scheme for sensor coverage scheduling with bandwidth constraints. Optim Lett 3(1):63–75

    Article  MathSciNet  MATH  Google Scholar 

  • Wang YC, Chen YF, Tseng YC (2012) Using rotatable and directional (R&D) sensors to achieve temporal coverage of objects and its surveillance application. IEEE Trans Mobile Comput (TMC) 11(8):1358–1371

    Article  Google Scholar 

  • Wang Y, Cao GH (2011) Minimizing service delay in directional sensor networks. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), pp 1790–1798

  • Wang Y, Cao GH (2011) On full-view coverage in camera sensor networks. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), pp 1781–1789

  • Wang C, Thai MT, Li Y, Wang F, Wu W (2007) Minimum coverage breach and maximum network lifetime in wireless sensor Networks. In: Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM), pp 1118–1123

Download references

Acknowledgments

This paper was supported in part by the National Natural Science Foundation of China under grant 11671400. It was also supported in part by Research Fund of Beijing Institute of Petrochemical Technology (15031862005/006).

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Correspondence to Deying Li.

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Hong, Y., Li, D., Kim, D. et al. Maximizing target-temporal coverage of mission-driven camera sensor networks. J Comb Optim 34, 279–301 (2017). https://doi.org/10.1007/s10878-016-0071-3

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