Coverage Enhancement in Wireless Video-Based Sensor Networks with Rotating Capabilities
Video monitoring for infrastructure surveillance and control is a special case of wireless sensor network applications in which large amounts of data are sensed and processed in real-time, and then communicated over a wireless network called a Wireless Video Sensor Network (WVSN). Effectively managing of such as networks is a major challenge. Considering that, a critical issue is the quality of the deployment from the sensing coverage viewpoint. Area coverage is still an essential issue in a WVSN. In this paper, we study the area coverage problem in WVSN with rotatable sensors, which can switch to the best direction to get high coverage. After the video sensors are randomly deployed, each sensor calculates its next new direction to switch in order to obtain a better coverage than previous one. In order to extend the network lifetime, our approach is to define a subset of the deployed nodes called a cover set to be active while the other nodes can sleep. Our proposed scheme is implemented and tested in OMNeT++ and shows significant enhancement in terms of average percentage of coverage.
KeywordsWireless Video Sensor Network coverage cover set scheduling surveillance OMNeT++
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- 1.Wang, C., Thai, M.T., Li, Y., Wang, F., Wu, W.: Coverage based information retrieval for lifetime maximization in sensor networks. In: IEEE GlobeCom (2007)Google Scholar
- 4.Bahi, J., Makhoul, A., Mostefaoui, A.: Improving lifetime and coverage through a mobile beacon for high density sensor networks. In: The Second IEEE International Conference on Sensor Technologies and Applications, SENSORCOMM 2008, pp. 335–341 (2008)Google Scholar
- 5.Cai, Y., Lou, W., Li, M., Li, X.Y.: Target-oriented scheduling in directional sensor networks. In: 26th IEEE International Conference on Computer Communications, INFOCOM 2007, pp. 1550–1558 (2007)Google Scholar
- 6.Pham, C., Makhoul, A.: Performance study of multiple cover-set strategies for mission-critical video surveillance with wireless video sensors. In: IEEE WiMOB (2010)Google Scholar
- 10.Cheng, M.X., Ruan, L., Wu, W.: Achieving minimum coverage breach under bandwidth constraints in wireless sensor networks. In: IEEE INFOCOM (2005)Google Scholar
- 11.Chen, A., Kumar, S., Lai, T.H.: Designing localized algorithms for barrier coverage. In: Proc. ACM MobiCom, pp. 63–74 (2007)Google Scholar
- 12.Wang, Y., Cao, G.: Barrier coverage in camera sensor networks. In: Proc. ACM MobiHoc, pp. 119–128 (2011)Google Scholar
- 13.Saipulla, A., Westphal, C., Liu, B., Wang, J.: Barrier coverage of linebased deployed wireless sensor networks. In: Proceeding of IEEE Infocom (2009)Google Scholar
- 14.Yu, Z., Teng, J., Bai, X., Xuan, D., Jia, W.: Connected coverage in wireless networks with directional antennas. In: Proceeding IEEE INFOCOM, pp. 2264–2272 (2011)Google Scholar
- 15.Kasbekar, G., Bejerano, Y., Sarkar, S.: Lifetime and coverage guarantees through distributed coordinate-free sensor activation. In: Proceeding ACM MobiCom, pp. 169–180 (2009)Google Scholar
- 16.Ma, H., Zhang, X., Ming, A.: A coverage-enhancing method for 3d directional sensor networks. In: Proc. IEEE INFOCOM, pp. 2791–2795 (2009)Google Scholar
- 18.OMNeT++, http://www.omnetpp.org/ (last accessed February 20th, 2013)