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Achieving long-term surveillance in VigilNet

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Published:11 February 2009Publication History
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Abstract

Energy efficiency is a fundamental issue for outdoor sensor network systems. This article presents the design and implementation of multidimensional power management strategies in VigilNet, a major recent effort to support long-term surveillance using power-constrained sensor devices. A novel tripwire service is integrated with an effective sentry and duty cycle scheduling in order to increase the system lifetime, collaboratively. The tripwire service partitions a network into distinct, nonoverlapping sections and allows each section to be scheduled independently. Sentry scheduling selects a subset of nodes, the sentries, which are turned on while the remaining nodes save energy. Duty cycle scheduling allows the active sentries themselves to be turned on and off, further lowering the average power draw. The multidimensional power management strategies proposed in this article were fully implemented within a real sensor network system using the XSM platform. We evaluate key system parameters using a network of 200 XSM nodes in an outdoor environment, and an analytical probabilistic model. We evaluate network lifetime using a simulation of a 10,000-node network that uses measured XSM power values. These evaluations demonstrate the effectiveness of our integrated approach and identify a set of lessons and guidelines, useful for the future development of energy-efficient sensor systems. One of the key results indicates that the combination of the three presented power management techniques is able to increase the lifetime of a realistic network from 4 days to 200 days.

References

  1. Agarwal, M., Cho, J. H., Gao, L., and Wu, J. 2004. Energy-Efficient broadcast in wireless ad hoc networks with hitch-hiking. In Proceedings of the Annual Joint Conference of the Computer and Communications Societies IEEE (InfoCom).Google ScholarGoogle Scholar
  2. Arora, A., Dutta, P., et al., S. B. 2003. A wireless sensor network for target detection, classification, and tracking. Comput. Netw. Syst. (Elsevier). Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Bhattacharya, S., Kim, H., Prabh, S., and Abdelzaher, T. 2003. Energy-Conserving data placement and asynchronous multicast in wireless sensor networks. In Proceedings of the ACM International Conference on Mobile Systems, Applications and Services MobiSys. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bogdanov, A., Maneva, E., and Riesenfeld, S. 2004. Power-Aware base station positioning for sensor networks. In Proceedings of the Annual Joint Conference of the Computer and Communications Societies IEEE (InfoCom).Google ScholarGoogle Scholar
  5. Cao, Q., Abdelzaher, T., He, T., and Stankovic, J. 2005. Towards optimal sleep scheduling in sensor networks for rare event detection. In Proceedings of the International Symposium on Information Processing in Sensor Networks (IPSN). Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Cao, Q., Yan, T., Abdelzaher, T., and Stankovic, J. 2005. Analysis of target detection performance for wireless sensor networks. In Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Cardei, M., Thai, M., and Wu, W. 2005. Energy-Efficient target coverage in wireless sensor networks. In Proceedings of the Annual Joint Conference of the Computer and Communications Societies IEEE (InfoCom).Google ScholarGoogle Scholar
  8. 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 Proceedings of the International Conference on Mobile Computing and Networking (MobiCom). Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Choi, W. and Das, S. 2005. A novel framework for energy-conserving data gathering in wireless sensor networks. In Proceedings of the Annual Joint Conference of the Computer and Communications Societies IEEE (InfoCom).Google ScholarGoogle Scholar
  10. CrossBow. 2008a. Mica2 aa battery pack service life test. http://www.xbow.com/Support/.Google ScholarGoogle Scholar
  11. CrossBow. 2008b. Mica2 data sheet. http://www.xbow.com.Google ScholarGoogle Scholar
  12. Dutta, P., Grimmer, M., Arora, A., Biby, S., and Culler, D. 2005. Design of a wireless sensor network platform for detecting rare, random, and ephemeral events. In Proceedings of the International Symposium on Information Processing in Sensor Networks (IPSN). Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Energizer. 2008. Energizer current batteries datasheets. http://www.energizer.com.Google ScholarGoogle Scholar
  14. Ganesan, D., Cristescu, R., and Berefull-Lozano, B. 2004. Power-Efficient sensor placement and transmission structure for data gathering under distortion constraints. In Proceedings of the International Symposium on Information Processing in Sensor Networks (IPSN). Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Goldberg, D. H., Andreas G. Andreou, P. J., Pouliquen, P. O., Riddle, L., and Rosasco, R. 2004. A Wake-up detector for an acoustic surveillance sensor network: Algorithm and VLSI implementation. In Proceedings of the International Symposium on Information Processing in Sensor Networks (IPSN). Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Gu, L. and Stankovic, J. A. 2004. Radio-Triggered wake-up capability for sensor networks. In Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. 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. Embedded Comput. Syst. (Special Issue on Dynamically Adaptable Embedded Systems). Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. He, T., Huang, C., Blum, B. M., Stankovic, J. A., and Abdelzaher, T. 2003. Range-Free localization schemes in large-scale sensor networks. In Proceedings of the International Conference on Mobile Computing and Networking (MobiCom). Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. He, T., Krishnamurthy, S., Stankovic, J. A., and Abdelzaher, T. 2004. An energy-efficient surveillance system using wireless sensor networks. In Proceedings of the ACM International Conference on Mobile Systems, Applications and Services (MobiSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Heinzelman, W., Chandrakasan, A., and Balakrishnan, H. 2000. Energy-Efficient communication protocol for wireless microsensor networks. In Proceedings of the Hawaii Internationational Conference on Systems Sciences (HICSS). Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. 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 ScholarDigital LibraryDigital Library
  22. Kar, K., Krishnamurthy, A., and Jaggi, N. 2005. Dynamic node activation in networks of rechargeable sensors. In Proceedings of the Annual Joint Conference of the Computer and Communications Societies IEEE (InfoCom).Google ScholarGoogle Scholar
  23. Keshavarzian, A., Uysal-Biyikoglu, E., Herrmann, F., and Manjeshwar, A. 2004. Energy-Efficient link assessment in wireless sensor networks. In Proceedings of the Annual Joint Conference of the Computer and Communications Societies IEEE (InfoCom).Google ScholarGoogle Scholar
  24. Kumar, S., Lai, T. H., and Balogh, J. 2004. On k-coverage in a mostly sleeping sensor network. In Proceedings of the 10th Annual International Conference on Mobile Computing and Networking. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Liu, J., Reich, J., and Zhao, F. 2003. Collaborative in-network processing for target tracking. J. Appl. Signal Process. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Madden, S., Franklin, M., Hellerstein, J., and Hong, W. 2002. TAG: A tiny aggregation service for ad-hoc sensor networks. In Proceedings of the Conference on Operating Systems Design and Implementation. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Maroti, M., Kusy, B., Simon, G., and Ledeczi, A. 2004. The flooding time synchronization protocol. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Okabe, A., Boots, B., Sugihara, K., and Chiu, S. N. 2000. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams. Wiley. Google ScholarGoogle ScholarCross RefCross Ref
  29. Paradiso, J. A. and Starner, T. 2005. Energy scavenging for mobile and wireless electronics. IEEE Pervasive Comput. 4, 1. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Polastre, J. and Culler, D. 2004. Versatile low power media access for wireless sensor networks. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Roundy, S., Wright, P. K., and Rabaey, J. 2006. A study of low level vibrations as a power source for wireless sensor nodes. Comput. Commun. 26, 11. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Seada, K., Zuniga, M., Helmy, A., and Krishnamachari, B. 2004. Energy efficient forwarding strategies for geographic routing. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Shrivastava, N., Buragohain, C., Suri, S., and Agrawal, D. 2004. Medians and beyond: New aggregation techniques for sensor networks. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Sichitiu, M. L. 2004. Cross-Layer scheduling for power efficiency in wireless sensor networks. In Proceedings of the Annual Joint Conference of the Computer and Communications Societies IEEE (InfoCom).Google ScholarGoogle ScholarCross RefCross Ref
  35. Simon, G. and et al. 2004. Sensor network-based countersniper system. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. 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
  37. Szewczyk, R., Mainwaring, A., Anderson, J., and Culler, D. 2004. An analysis of a large scale habit monitoring application. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. van Dam, T. and Langendoen, K. 2003. An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. Wang, X., Xing, G., Zhang, Y., Lu, C., Pless, R., and Gill, C. 2003. Integrated coverage and connectivity configuration in wireless sensor networks. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Williams, R. 1979. Circle Coverings. Dover, New York.Google ScholarGoogle Scholar
  41. Woo, A., Tong, T., and Culler, D. 2003. Taming the underlying challenges of reliable multihop routing in sensor networks. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Xu, N., Rangwala, S., Chintalapudi, K. K., Ganesan, D., Broad, A., Govindan, R., and Estrin, D. 2004. A wireless sensor network for structural monitoring. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Xu, Y., Heidemann, J., and Estrin, D. 2001. Geography-Informed energy conservation for ad hoc routing. In Proceedings of the International Conference on Mobile Computing and Networking (MobiCom). Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Yan, T., He, T., and Stankovic, J. 2003. Differentiated surveillance service for sensor networks. In Proceedings of the SIGOPS International Conference on Embedded Networked Sensor Systems (SenSys). Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Ye, W., Heidemann, J., and Estrin, D. 2002. An energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the Annual Joint Conference of the Computer and Communications Societies IEEE (InfoCom).Google ScholarGoogle Scholar
  46. Yu, Y., Krishnamachari, B., and Prasanna, V. K. 2004. Energy-Latency tradeoffs for data gathering in wireless sensor networks. In Proceedings of the Annual Joint Conference of the Computer and Communications Societies IEEE (InfoCom).Google ScholarGoogle Scholar
  47. Zhou, G., He, T., and Stankovic, J. A. 2004. Impact of radio irregularity on wireless sensor networks. In Proceedings of the ACM International Conference on Mobile Systems, Applications and Services (MobiSys). Google ScholarGoogle ScholarDigital LibraryDigital Library

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