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VigilNet: An integrated sensor network system for energy-efficient surveillance

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Published:01 February 2006Publication History
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Abstract

This article describes one of the major efforts in the sensor network community to build an integrated sensor network system for surveillance missions. The focus of this effort is to acquire and verify information about enemy capabilities and positions of hostile targets. Such missions often involve a high element of risk for human personnel and require a high degree of stealthiness. Hence, the ability to deploy unmanned surveillance missions, by using wireless sensor networks, is of great practical importance for the military. Because of the energy constraints of sensor devices, such systems necessitate an energy-aware design to ensure the longevity of surveillance missions. Solutions proposed recently for this type of system show promising results through simulations. However, the simplified assumptions they make about the system in the simulator often do not hold well in practice, and energy consumption is narrowly accounted for within a single protocol. In this article, we describe the design and implementation of a complete running system, called VigilNet, for energy-efficient surveillance. The VigilNet allows a group of cooperating sensor devices to detect and track the positions of moving vehicles in an energy-efficient and stealthy manner. We evaluate VigilNet middleware components and integrated system extensively on a network of 70 MICA2 motes. Our results show that our surveillance strategy is adaptable and achieves a significant extension of network lifetime. Finally, we share lessons learned in building such an integrated sensor system.

References

  1. Arora, A., Dutta, P., Bapat, S., Kulathumani, V., Zhang, H., Naik, V., Mittal, V., Cao, H., Demirbas, M., Gouda, M., Choi, Y., Herman, T., Kulkarni, S., Arumugam, U., Nesterenko, M., Vora, A., and Miyashita, M. 2004. A wireless sensor network for target detection, classification, and tracking. Computer Networks (Elsevier). Google ScholarGoogle Scholar
  2. Aslam, J., Butler, Z., Crespi, V., Cybenko, G., and Rus, D. 2003. Tracking a moving object with a binary sensor network. In First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003). Google ScholarGoogle Scholar
  3. Bhattacharya, S., Kim, H., Prabh, S., and Abdelzaher, T. 2003. Energy-conserving data placement and asynchronous multicast in wireless sensor networks. In The First International Conference on Mobile Systems, Applications, and Services (MobiSys). Google ScholarGoogle Scholar
  4. Blum, B. M., Nagaraddi, P., Wood, A., Abdelzaher, T. F., Son, S., and Stankovic, J. A. 2003. An entity maintenance and connection service for sensor networks. In The First International Conference on Mobile Systems, Applications, and Services (MobiSys). Google ScholarGoogle Scholar
  5. Brooks, R. R., Ramanathan, P., and Sayeed, A. 2002. Distributed target tracking and classsification in sensor networks. Proceedings of the IEEE.Google ScholarGoogle Scholar
  6. Cerpa, A., Wong, J. L., Kuang, L., Potkonjak, M., and Estrin, D. 2005. Statistical model of lossy links in wireless sensor networks. In IPSN'05. Google ScholarGoogle Scholar
  7. Chen, B., Jamieson, K., Balakrishnan, H., and Morris, R. 2001. Span: An energy-efficient coordination algorithm for topology maintenance in Ad Hoc wireless networks. In 6th ACM MOBICOM Conference. Google ScholarGoogle Scholar
  8. Cheong, E., Liebman, J., Liu, J., and Zhao, F. 2003. TinyGALS: A programming model for event-driven embedded systems. In Proceedings of the 18th Annual ACM Symposium on Applied Computing. Google ScholarGoogle Scholar
  9. CrossBow 2003. Mica2 data sheet. CrossBow. Available at http://www.xbow.com.Google ScholarGoogle Scholar
  10. Elson, J. and Romer, K. 2002. Wireless sensor networks: A new regime for time synchronization. In Proceedings of the Workshop on Hot Topics in Networks (HotNets).Google ScholarGoogle Scholar
  11. Gay, D., Levis, P., von Behren, R., Welsh, M., Brewer, E., and Culler, D. 2000. The nesC language: A holistic approach to networked embedded Systems. In Proceedings of Programming Language Design and Implementation (PLDI) 2003. Google ScholarGoogle Scholar
  12. Gu, L. and Stankovic, J. A. 2004. Radio-triggered wake-up capability for sensor networks. In Proceedings of RTAS. Google ScholarGoogle Scholar
  13. Guo, C., Zhong, L. C., and Rabaey, J. M. 2001. Low power distributed MAC for Ad Hoc sensor radio networks. In IEEE GlobeCom.Google ScholarGoogle Scholar
  14. He, T., Blum, B. M., Stankovic, J. A., and Abdelzaher, T. F. 2004. AIDA: Adaptive application independent data aggregation in wireless sensor networks. ACM Trans. Embed. Comput. Syst., Special issue on Dynamically Adaptable Embedded Systems. Google ScholarGoogle Scholar
  15. He, T., Huang, C., Blum, B. M., Stankovic, J. A., and Abdelzaher, T. 2003a. Range-free localization schemes in large-scale sensor networks. In Proceedings of the International Conference on Mobile Computing and Networking (MOBICOM). Google ScholarGoogle Scholar
  16. He, T., Stankovic, J., Lu, C., and Abdelzaher, T. 2003b. SPEED: A stateless protocol for real-time communication in Ad Hoc sensor networks. In Proceedings of International Conference on Distributed Computing Systems (ICDCS). Google ScholarGoogle Scholar
  17. Heinzelman, W. R., Chandrakasan, A., and Balakrishnan, H. 2000. Energy-efficient communication protocol for wireless microsensor Networks. In Proceedings of the International Conference on System Sciences. Google ScholarGoogle Scholar
  18. Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D. E., and Pister, K. S. J. 2000. System architecture directions for networked sensors. In Proceedings of Architectural Support for Programming Languages and Operating Systems (ASPLOS). 93--104. Google ScholarGoogle Scholar
  19. Honeywell 1990. 1- and 2-Axis Magnetic Sensors. Honeywell. Available at www.ssec.honeywell.com/magnetic/datasheets/hmc1001-2_1021-2.pdf.Google ScholarGoogle Scholar
  20. Horton, M., Culler, D. E., Pister, K., Hill, J., Szewczyk, R., and Woo, A. 2002. MICA: The commercialization of microsensor motes. Sensors Online. www.sensorsmag.com/articles/0402/40.Google ScholarGoogle Scholar
  21. Intanagonwiwat, C., Govindan, R., and Estrin, D. 2000. Directed diffusion: A scalable and robust communication paradigm for sensor networks. In the Sixth Annual International Conference on Mobile Computing and Networks. Google ScholarGoogle Scholar
  22. Kahn, J. M., Katz, R. H., and Pister, K. S. J. 1999. Next century challenges: Mobile networking for smart dust. In Proceedings of the International Conference on Mobile Computing and Networking (MOBICOM). Google ScholarGoogle Scholar
  23. Krishnamachari, B., Estrin, D., and Wicker, S. 2002. Impact of data aggregation in wireless sensor networks. In Proceedings of the International Workshop on Distributed Event-Based Systems. Google ScholarGoogle Scholar
  24. Levis, P., Lee, N., Welsh, M., and Culler, D. 2003. TOSSIM: Accurate and scalable simulation of entire tinyOS Applications. In First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003). Google ScholarGoogle Scholar
  25. Liu, J., Reich, J., and Zhao, F. 2003. Collaborative in-network processing for target tracking. J. Appl. Sig. Proc. Google ScholarGoogle Scholar
  26. Madden, S., Franklin, M., Hellerstein, J., and Hong, W. 2002. TAG: A tiny aggregation service for Ad Hoc sensor networks. In Operating Systems Design and Implementation. Google ScholarGoogle Scholar
  27. Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D. E., and Anderson, J. 2002. Wireless sensor networks for habitat monitoring. In Proceedings of the ACM Workshop on Sensor Networks and Application (WSNA). Google ScholarGoogle Scholar
  28. Maroti, M., Kusy, B., Simon, G., and Ledeczi, A. 2004. The flooding time synchronization protocol. In Second ACM Conference on Embedded Networked Sensor Systems (SenSys 2004). 39--49. Google ScholarGoogle Scholar
  29. Pattem, S., Poduri, S., and Krishnamachari, B. 2003. Energy-quality tradeoffs for target tracking in wireless sensor networks. In The 2nd International Workshop on Information Processing in Sensor Networks (IPSN'03). Palo Alto, California, 32--46. Google ScholarGoogle Scholar
  30. Polastre, J. and Culler, D. 2004. Versatile low power media access for wireless sensor networks. In Second ACM Conference on Embedded Networked Sensor Systems (SenSys 2004). Google ScholarGoogle Scholar
  31. Powers, R. 1995. Batteries for low power electronics. In Proc. IEEE, 687--693.Google ScholarGoogle Scholar
  32. Simon, G., Maroti, M., Ledeczi, A., Balogh, G., Kusy, B., Nadas, A., Pap, G., Sallai, J., and Frampton, K. 2004. Sensor network-based countersniper system. In Second ACM Conference on Embedded Networked Sensor Systems (SenSys 2004). Google ScholarGoogle Scholar
  33. Stoleru, R., He, T., and Stankovic, J. A. 2004. Walking GPS: A practical solution for localization in manually deployed wireless sensor networks. In 1st IEEE Workshop on Embedded Networked Sensors EmNetS-I. Google ScholarGoogle Scholar
  34. Szewczyk, R., Mainwaring, A., Anderson, J., and Culler, D. 2004. An analysis of a large scale habit monitoring application. In Second ACM Conference on Embedded Networked Sensor Systems (SenSys 2004). Google ScholarGoogle Scholar
  35. Tian, D. and Georganas, N. 2003. A node scheduling scheme for energy conservation in large wireless sensor networks. Wireless Communications and Mobile Computing Journal.Google ScholarGoogle Scholar
  36. Wang, X., Xing, G., Zhang, Y., Lu, C., Pless, R., and Gill, C. 2003. Integrated coverage and connectivity configuration in wireless sensor networks. In First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003). Google ScholarGoogle Scholar
  37. Xu, Y., Heidemann, J., and Estrin, D. 2001. Geography-informed energy conservation for Ad Hoc routing. In MobiCom. Google ScholarGoogle Scholar
  38. Yan, T., He, T., and Stankovic, J. 2003. Differentiated surveillance service for sensor networks. In First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003). Google ScholarGoogle Scholar
  39. Ye, F., Zhong, G., Lu, S., and Zhang, L. 2003. PEAS: A robust energy conserving protocol for long-lived sensor networks. In Proceedings of the International Conference on Distributed Computing Systems (ICDCS). Google ScholarGoogle Scholar
  40. Zhang, W. and Cao, G. 2004. Optimizing tree reconfiguration for mobile target tracking in sensor networks. In IEEE INFOCOM.Google ScholarGoogle Scholar
  41. Zhao, F., Shin, J., and Reich, J. 2002. Information-driven dynamic sensor collaboration for tracking applications. IEEE Signal Processing Magazine.Google ScholarGoogle Scholar
  42. Zhou, G., He, T., and Stankovic, J. A. 2004. Impact of radio irregularity on wireless sensor networks. In The Second International Conference on Mobile Systems, Applications, and Services (MobiSys). Google ScholarGoogle Scholar

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