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Energy efficient camera node activation control in multi-tier wireless visual sensor networks

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Abstract

Multi-tier topology model is an appropriate choice to accomplish the application-specific tasks in many wireless visual sensor networks. In a general multi-tier architecture, the first tier is composed of scalar nodes. This tier activates the camera nodes of the second tier within its communication range only when it is necessary. However, in many cases the activated camera nodes do not detect any events because of the directionality of their sensing range. In this paper, we present field of view clustering as a new clustering method to reduce the unneeded visual activations of camera nodes and overcome the waste of energy. We also improve this clustering method by presenting a solution named Random Neglect. As the simulation results indicate, our proposed solutions are successful in saving the energy of camera nodes and prolonging network lifetime while providing high detection performance.

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References

  1. Akyildiz, I. F., Melodia, T., & Chowdhury, K. R. (2007). A survey on wireless multimedia sensor networks. Computer Networks, 51(4), 921–960.

    Article  Google Scholar 

  2. Charfi, Y., Wakamiya, N., & Murata, M. (2009). Challenging issues in visual sensor networks. IEEE Wireless Communications, 16(2), 44–49.

    Article  Google Scholar 

  3. Soro, S., & Heinzelman, W. (2009). A survey of visual sensor networks. Advances in Multimedia, 640386, 21–23.

    Google Scholar 

  4. Campbell, J., Gibbons, P. B., Nath, S., Pillai, P., Seshan, S., & Sukthankar, R. (2005). IrisNet: An internet-scale architecture for multimedia sensors. In 13th annual ACM international conference on multimedia. New York, USA, pp. 81–88.

  5. He, T., Krishnamurthy, S., Stankovic, J. A., Abdelzaher, T., Luo, L., Stoleru, R., et al. (2006). VigilNet: an integrated sensor network system for energy-efficient surveillance. ACM Transactions on Sensor Networks, 2(1), 1–38.

    Article  Google Scholar 

  6. Hengstler, S., Prashanth, D., Fong, S., Aghajan, H. (2007). Mesheye: A hybrid resolution smart camera mote for applications in distributed intelligent surveillance. In Proceedings of information processing in sensor networks (IPSN-SPOTS), pp. 360–369.

  7. McCurdy, N. J. & Griswold, W. (2005). A system architecture for ubiquitous video. In Proceedings of the 3rd annual international conference on mobile systems, applications, and services (Mobisys), pp. 1–14.

  8. Tabar, A. M., Keshavarz, A. & Aghajan, H. (2006). Smart home care network using sensor fusion and distributed vision-based reasoning. In Proceedings of the 4th ACM international workshop on video surveillance and sensor networks (VSSN), pp. 145–154.

  9. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.

    Article  Google Scholar 

  10. Akyildiz, I. F., Melodia, T., & Chowdhury, K. R. (2008). Wireless multimedia sensor networks: Applications and testbeds. Proceedings of the IEEE, 96(10), 1588–1605.

    Article  Google Scholar 

  11. Kulkarni, P., Ganesan, D., Shenoy, P. & Lu, Q. (2005). SensEye: A multi-tier camera sensor network. In 13th annual ACM international conference on multimedia, Singapore, pp. 229–238.

  12. Czarlinska, A., & Kundur, D. (2008). Reliable event-detection in wireless visual sensor networks through scalar collaboration and game-theoretic consideration. IEEE Transactions on Multimedia, 10(5), 675–690.

    Article  Google Scholar 

  13. Lopes, C. E. R. & Ruiz, L. B. (2008). On the development of a multi-tier, multimodal wireless sensor network for wild life monitoring. In 1st IFIP wireless days (WD), Dubai, pp. 1–5.

  14. Newell, A., & Akkaya, K. (2011). Distributed collaborative camera actuation for redundant data elimination in wireless multimedia sensor networks. Ad Hoc Networks, 9(4), 514–527.

    Article  Google Scholar 

  15. Zhao, D, Ma, H. & Liu, L. (2011). Analysis for heterogeneous coverage problem in multimedia sensor networks. In IEEE international conference on communication, Beijing, China, pp. 1–5.

  16. Alemdar, H., Durmus, Y., & Ersoy, C. (2010). Wireless healthcare monitoring with RFID-enhanced video sensor networks. International Journal of Distributed Sensor Networks, 2010, 10.

    Article  Google Scholar 

  17. Chen, J., Tan, R., Xing, G., Wang. X., & Fu, X. (2010). Fidelity-aware utilization control for cyber-physical surveillance systems, In The 31st IEEE real-time systems symposium (RTSS), pp. 117–126.

  18. Liu, L., Zhang, X., & Ma, H. (2009). Dynamic node collaboration for mobile target tracking in wireless camera sensor networks. IEEE INFOCOM, 2009, 1188–1196.

    Google Scholar 

  19. Liu, L., Ming, A., Ma, H., & Zhang, H. (2012). A binary-classification-tree based framework for distributed target classification in multimedia sensor networks. IEEE INFOCOM, 2012, 594–602.

    Google Scholar 

  20. Cheng, W., Li, S., Liao, X., Changxiang, H., & Chen, H. (2007). Maximal coverage scheduling in randomly deployed directional sensor networks. In International conference on parallel processing workshops, pp. 68–73.

  21. Liang, Ch., Tsai, Ch., & He, M. (2011). On area coverage problems in directional sensor networks. In International conference on information networking, pp. 182–187.

  22. Li, J., Wang, R., Huang, H., & Sun, L. (2009). Voronoi based area coverage optimization for directional sensor networks. In Second International symposium on electronic commerce and security, pp. 488–493.

  23. Aghdasi, H. S., Bisadi, P., Moghaddam, M. E., & Abbaspour, M. (2009). High-resolution images with minimum energy dissipation and maximum field-of-view in camera-based wireless multimedia sensor networks. Sensors, 9(8), 6385–6410.

    Article  Google Scholar 

  24. Park, J., Bhat, C. & Kak, A. C. (2006). A look-up table based approach for solving the camera selection problem in large camera networks. In Workshop on distributed smart cameras, association with ACM (SenSys).

  25. Medeiros, H., Iwaki, H. & Park, J. (2008). Online distributed calibration of a large network of wireless cameras using dynamic clustering. Second ACM/IEEE international conference on distributed smart cameras (ICDSC), Stanford, CA, pp. 1–10.

  26. Younis, O., Krunz, M., & Ramasubramanian, S. (2008). Location-unaware coverage in wireless sensor networks. Ad Hoc Networks, 6(7), 1078–1097.

    Article  Google Scholar 

  27. Liu, J., O’rourke, D., Wark, T., Lakemond, R.,& Sridharan, S. (2009). Camera calibration in wireless multimedia sensor networks. Intelligent sensors, sensor networks and information processing (ISSNIP), pp. 301–306.

  28. Li, J., Chai, S., Zhang, B., Cui, L., & Miao, Z. (2011). Coverage control technology in mobile sensor networks without localization. In 2nd international conference on intelligent control and information processing (ICICIP), pp. 247–250.

  29. Heinzelman, W., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–670.

    Article  Google Scholar 

  30. Casares, M., Pinto, A., Youlu W., & Velipasalar, S. (2009). Power consumption and performance analysis of object tracking and event detection with wireless embedded smart cameras. In 3rd International conference on signal processing and communication systems (ICSPCS), Omaha, NE, pp. 1–8.

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Correspondence to Maghsoud Abbaspour.

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Aghdasi, H.S., Nasseri, S. & Abbaspour, M. Energy efficient camera node activation control in multi-tier wireless visual sensor networks. Wireless Netw 19, 725–740 (2013). https://doi.org/10.1007/s11276-012-0497-1

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