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Radio propagation patterns in wireless sensor networks: new experimental results

Published:03 July 2006Publication History

ABSTRACT

Wireless sensors use low power radio transceivers due to the stringent constraints on battery capacity. As a result, radio transmission with wireless sensors is unreliable. Further, propagation patterns are irregular, causing some links to be asymmetric. Accurate models of radio propagation patterns are important for protocol design and simulation. Thus far, measurements of radio propagation patterns have been carried out using the motes themselves for test measurement. We have carried out experiments using RF test equipment to precisely measure mote transmit and receive signal strength and to accurately determine propagation patterns. Our tests have produced new radio propagation patterns and a new propagation model. Our model is more accurate than previous models and can be used for building both analytical and simulation models for wireless sensor networks.

References

  1. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "A Survey on Sensor Networks," IEEE Communications Magazine, Vol. 40, No. 8, August 2002, pp. 102--114. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. J. Bardwell, "You Believe You Understand What You Think I Said: The Truth about 802.11 Signal and Noise Metrics," http://www.connect802.com/download/techpubs/2004/you_believe_D100201.pdf, 2004Google ScholarGoogle Scholar
  3. V. Bhavsar, N. Blas, and H. Nguyen, "Measurement of Antenna Radiation Patterns - Laboratory Manual," UC-Riverside, 2000.Google ScholarGoogle Scholar
  4. Crossbow Technology Inc., http://www.xbow.com, Accessed in February 2005.Google ScholarGoogle Scholar
  5. D. E. Culler, J.Hill, P. Buonadonna, R. Szewczyk, and A. Woo, "A Network-Centric Approach to Embedded Software for Tiny Devices," Proceedings of First International Workshop on Embedded Software (EMSOFT 2001), Tahoe City, California, October 2001, pp. 114--130. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. T. He, C. Huang, B.M. Blum, J. A. Stankovic, and T. Abdelzaher, "Range-Free Localization Schemes for Large Scale Sensor Networks," Proceedings of the ninth annual international conference on Mobile computing and networking (MobiCom 2003), San Diego, California, September 2003, pp. 81--95. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. IFR 120B Data Sheet, http://www.testmart.com/ Accessed in November 2005.Google ScholarGoogle Scholar
  8. J. Kahn, R. Katz, and K. Pister, "Next Century Challenges: Mobile Networking for Smart Dust," Proceedings of MobiCom 99, Seattle, USA, August 1999, pp. 263--270. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, and J. Anderson, "Wireless Sensor Networks for Habitat Monitoring," Proceedings of First International Workshop on Wireless Sensor Networks and Applications (WSNA'02), Atlanta, USA, September 2002, pp. 88--97. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Tereus Scott, "Mica Mote Antenna Radiation Pattern Analysis," Technical Report DCS-303-IR, Computer Science Department, University of Victoria, http://www.cs.uvic.ca/~wkui/research/motereport-p.pdf, August 2004.Google ScholarGoogle Scholar
  11. Tescom TC-5060B UHF TEM Cell, http://www.temcell.com/tc5060.html, Accessed in November 2005.Google ScholarGoogle Scholar
  12. B. Warneke, M. Last, B. Leibowitz, K.S.J. Pister, "Smart Dust: Communicating with a Cubic-Millimeter Computer," IEEE Computer Magazine, Vol.34, No.1, January 2001, pp. 44--51. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. G. Zhou, T. He, J. Stankovic, "Impact of Radio Asymmetry on Wireless Sensor Networks," Proceedings of MobiSys 2004, Boston, Massachusetts, June 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      cover image ACM Conferences
      IWCMC '06: Proceedings of the 2006 international conference on Wireless communications and mobile computing
      July 2006
      2006 pages
      ISBN:1595933069
      DOI:10.1145/1143549

      Copyright © 2006 ACM

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      New York, NY, United States

      Publication History

      • Published: 3 July 2006

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