skip to main content
10.1145/990064.990096acmconferencesArticle/Chapter ViewAbstractPublication PagesmobisysConference Proceedingsconference-collections
Article

Energy-efficient surveillance system using wireless sensor networks

Published:06 June 2004Publication History

ABSTRACT

The focus of surveillance missions 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 paper, we describe the design and implementation of a running system for energy-efficient surveillance. The system allows a group of cooperating sensor devices to detect and track the positions of moving vehicles in an energy-efficient and stealthy manner. We can trade off energy-awareness and surveillance performance by adaptively adjusting the sensitivity of the system. We evaluate the performance on a network of 70 MICA2 motes equipped with dual-axis magnetometers. 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 a complete running system.

References

  1. S. Bhattacharya, H. Kim, S. Prabh, and T. Abdelzaher. Energy-Conserving Data Placement and Asynchronous Multicast in Wireless Sensor Networks. In The First International Conference on Mobile Systems, Applications, and Services (MobiSys) May 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. B.M. Blum, P. Nagaraddi, A. Wood, T.F. Abdelzaher, S. Son, and J.A. Stankovic. An Entity Maintenance and Connection Service for Sensor Networks. In The First Intl. Conference on Mobile Systems, Applications, and Services (MobiSys) May 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. B. Chen, K. Jamieson, H. Balakrishnan, and R. Morris. Span: An energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. In 6th ACM MOBICOM Conference 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. CrossBow. Mica2 data sheet Available at http://www.xbow.com/Products/Product_pdf_files/MICA%20data%20sheet.pdfGoogle ScholarGoogle Scholar
  5. J. Elson and K. Romer. Wireless Sensor Networks: A New Regime for Time Synchronization. In Proc. of the Workshop on Hot Topics in Networks (HotNets) October 2002.Google ScholarGoogle Scholar
  6. Z. Feng, S. Jaewon, and R. James. Information-Driven Dynamic Sensor Collaboration for Target Tracking. IEEE Signal Processing Magazine 19(2), Mar 2002.Google ScholarGoogle Scholar
  7. D. Gay, P. Levis, R. von Behren, M. Welsh, E. Brewer, and D. Culler. The nesC Language: A Holistic Approach to Networked Embedded Systems. In Proceedings of Programming Language Design and Implementation (PLDI) 2003 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. L. Gu and J.A. Stankovic. Radio-Triggered Wake-Up Capability for Sensor Networks. In Proceedings of RTAS 2004.Google ScholarGoogle Scholar
  9. T. He, B.M. Blum, J.A. Stankovic, and T.F. Abdelzaher. AIDA: Adaptive Application Independent Data Aggregation in Wireless Sensor Networks. ACM Transactions on Embedded Computing System, Special issue on Dynamically Adaptable Embedded Systems 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. T. He, C. Huang, B.M. Blum, J.A. Stankovic, and T. Abdelzaher. Range-Free Localization Schemes in Large-Scale Sensor Networks. In Proc. of the Intl. Conference on Mobile Computing and Networking (MOBICOM) September 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. W.R. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In Proc. of the Intl. Conference on System Sciences January 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. J. Hill, R. Szewczyk, A. Woo,S. Hollar, D.E. Culler, and K.S.J. Pister. System Architecture Directions for Networked Sensors. In Proc. of Architectural Support for Programming Languages and Operating Systems (ASPLOS)pages 93--104, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Honeywell. 1- and 2-Axis Magnetic Sensors Available at www.ssec.honeywell.com/magnetic/datasheets/hmc1001-2_1021-2.pdfGoogle ScholarGoogle Scholar
  14. M. Horton, D.E. Culler, K. Pister, J. Hill, R. Szewczyk, and A. Woo. MICA: The Commercialization of Microsensor Motes. Sensors Online April 2002. www.sensorsmag.com/articles/0402/40.Google ScholarGoogle Scholar
  15. C. Intanagonwiwat, R. Govindan,and D. Estrin. Directed diffusion:A scalable and robust communication paradigm for sensor networks.In the Sixth Annual International Conference on Mobile Computing and Networks 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. J.M. Kahn, R.H. Katz, and K.S.J. Pister. Next Century Challenges: Mobile Networking for Smart Dust. In Proc. of Intl. Conference on Mobile Computing and Networking (MOBICOM) August 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. S. Madden, M. Franklin, J. Hellerstein, and W. Hong. TAG: A Tiny Aggregation Service for Ad-Hoc Sensor Networks. In Operating Systems Design and Implementation December 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. A. Mainwaring, J. Polastre, R. Szewczyk, D.E. Culler, and J. Anderson. Wireless Sensor Networks for Habitat Monitoring. In Proc. of the ACM Workshop on Sensor Networks and Application (WSNA) September 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. TOSSIM: A Simulator for TinyOS Networks. Available at webs.cs.berkeley.edu/tos/tinyos-1.x/doc/nido.pdfGoogle ScholarGoogle Scholar
  20. R. Powers. Batteries for Low Power Electronics. In Proceedings of the IEEE pages 687--693, April 1995.Google ScholarGoogle ScholarCross RefCross Ref
  21. X. Wang, G. Xing, Y. Zhang, C. Lu, R. Pless, and C. Gill. Integrated Coverage and Connectivity Configuration in Wireless Sensor Networks. In First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003) November 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. T. Yan, T. He, and J. Stankovic. Differentiated Surveillance Service for Sensor Networks. In First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003) November 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. F. Ye, G. Zhong, S. Lu, and L. Zhang. PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks. In Proc. of International Conference on Distributed Computing Systems (ICDCS) May 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. G. Zhou, T. He, and J.A. Stankovic. Impact of Radio Irregularity on Wireless Sensor Networks. In The Second International Conference on Mobile Systems, Applications, and Services (MobiSys) June 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Energy-efficient surveillance system using wireless sensor networks

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      MobiSys '04: Proceedings of the 2nd international conference on Mobile systems, applications, and services
      June 2004
      294 pages
      ISBN:1581137931
      DOI:10.1145/990064

      Copyright © 2004 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 June 2004

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • Article

      Acceptance Rates

      MobiSys '04 Paper Acceptance Rate22of162submissions,14%Overall Acceptance Rate274of1,679submissions,16%

      Upcoming Conference

      MOBISYS '24

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader