skip to main content
10.1145/1134680.1134685acmconferencesArticle/Chapter ViewAbstractPublication PagesmobisysConference Proceedingsconference-collections
Article

FireWxNet: a multi-tiered portable wireless system for monitoring weather conditions in wildland fire environments

Published:19 June 2006Publication History

ABSTRACT

In this paper we present FireWxNet, a multi-tiered portable wireless system for monitoring weather conditions in rugged wildland fire environments. FireWxNet provides the fire fighting community the ability to safely and easily measure and view fire and weather conditions over a wide range of locations and elevations within forest fires. This previously unattainable information allows fire behavior analysts to better predict fire behavior, heightening safety considerations. Our system uses a tiered structure beginning with directional radios to stretch deployment capabilities into the wilderness far beyond current infrastructures. At the end point of our system we designed and integrated a multi-hop sensor network to provide environmental data. We also integrated web-enabled surveillance cameras to provide visual data. This paper describes a week long full system deployment utilizing 3 sensor networks and 2 web-cams in the Selway-Salmon Complex Fires of 2005. We perform an analysis of system performance and present observations and lessons gained from our deployment.

References

  1. M. Behar. Rendering inferno. In Wired Magazine, Issue 12.10, October 2004.Google ScholarGoogle Scholar
  2. S. Bhatti, J. Carlson, H. Dai, J. Deng, J. Rose, A. Sheth, B. Shucker, C. Gruenwald, A. Torgerson, and R. Han. Mantis os: An embedded multithreaded operating system for wireless micro sensor platforms. In ACM/Kluwer Mobile Networks and Applications (MONET), Special Issue on Wireless Sensor Networks, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. A. Cerpa, J. Elson, D. Estrin, L. Girod, M. Hamilton, and J. Zhao. Habitat monitoring: Application driver for wireless communications technology. In ACM Sigcomm Workshop on Data Communications, San Jose, Costa Rica, April 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. D. D. Couto, D. Aguayo, J. Bicket, and R. Morris. A high-throughput path metric for multi-hop wireless routing. In ACM Mobicom, September 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. D. Doolin and N. Sitar. Wireless sensors for wildfire monitoring. In SPIE Symposium on Smart Structures & Materials, San Diego, CA, March 2005.Google ScholarGoogle ScholarCross RefCross Ref
  6. L. Gu and J. Stankovic. Radio-triggered wake-up capability for sensor networks. In 10th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS04), 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. T. He, S. Krishnamurthy, J. Stankovic, T. Abdelzaher, L. Luo, R. Stoleru, T. Yan, and L. Gu. Energy-efficient surveillance system using wireless sensor networks. In The Second International Conference on Mobile Systems, Applications, and Services (MobiSys '04), June 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. W. Hu, V. Tran, N. Bulusu, C. tung Chou, S. Jha, and A. Taylor. The design and evaluation of a hybrid sensor network for cane-toad monitoring. In Information Processing in Sensor Networks (IPSN 2005), Los Angeles, CA, April 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. P. Juang, H. Oki, Y. Wang, M. Martonosi, L.-S. Peh, and D. Rubenstein. Energy-efficient computing for wildlife tracking: Design tradoffs and early experiences with zebranet. In Arthicetrual Support for Programming Languages and Operating Systems (ASPLOS 2002), October 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, and J. Anderson. Wireless sensor networks for habitat monitoring. In 1st ACM International Workshop on Wireless Sensor Networks and Applicatoins (WSNA 2002), Atlanta, GA, September 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. M. Maroti. The directed ood routing framework. In ACM/IFIP/USENIX 5th International Middleware Conference, October 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. M. Maroti, B. Kusy, G. Simon, and A. Ledeczi. The flooding time synchronization protocol. In Second ACM Conference on Embedded Networked Sensor Systems (Sensys), November 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. National Interagency Fire Center. http://www.nifc.gov/stats/wildlandfirestats.html.Google ScholarGoogle Scholar
  14. G. Simon, G. Balogh, G. Pap, M. Maroti, B. Kusy, J. Sallai, A. Ledeczi, A. Nadas, and K. Frampton. Sensor network-based countersniper system. In Second ACM Conference on Embedded Networked Sensor Systems (Sensys), 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Skycasters. Satellite Internet. http://www.skycasters.com.Google ScholarGoogle Scholar
  16. Soekris Engineering. http://www.soekris.com.Google ScholarGoogle Scholar
  17. G. Tolle, J. Polastre, R. Szewczyk, D. Culler, N. Turner, K. Tu, S. Burgess, T. Dawson, P. Buonadonna, D. Gay, and W. Hong. A macroscope in the redwoods. In Third International Conference on Embedded Networked Sensor Systems (Sensys 2005), San Diego, CA, November 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. United States Forest Service RAWS. http://www.fs.fed.us/raws/.Google ScholarGoogle Scholar
  19. G. Werner-Allen, J. Johnson, M. Ruiz, J. Lees, and M. Welsh. Monitoring volcanic eruptions with a wireless sensor network. In Second European Workshop on Wireless Sensor Networks (EWSN '05), January 2005.Google ScholarGoogle ScholarCross RefCross Ref
  20. Wireless - Fresnel Zones and their Effect. http://www.zytrax.com/tech/wireless/fresnel.htm.Google ScholarGoogle Scholar
  21. A. Woo, T. Tong, and D. Culler. Taming the underlying challenges of reliable multihop routing in sensor networks. In First ACM Conference on Embedded Networked Sensor Systems (Sensys), Los Angeles, CA, November 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. J. Zhao and R. Govindan. Understanding packet delivery performance in dense wireless sensor networks. In First ACM Conference on Embedded Networked Sensor Systems (Sensys), Los Angeles, CA, November 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. G. Zhou, T. He, and J. 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. FireWxNet: a multi-tiered portable wireless system for monitoring weather conditions in wildland fire environments

        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 '06: Proceedings of the 4th international conference on Mobile systems, applications and services
          June 2006
          268 pages
          ISBN:1595931953
          DOI:10.1145/1134680

          Copyright © 2006 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: 19 June 2006

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • Article

          Acceptance Rates

          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