DOI QR코드

DOI QR Code

Asset Localization in Wireless Sensor Networks

  • Jo, Jung-Hee (Telematics-USN Research Division, Electronics and Telecommunications Research Institute) ;
  • Kim, Kwang-Soo (Telematics-USN Research Division, Electronics and Telecommunications Research Institute) ;
  • Kim, Sun-Joong (Telematics-USN Research Division, Electronics and Telecommunications Research Institute)
  • 발행 : 2007.10.31

초록

Many hospitals have been considering new technology such as wireless sensor network(WSN). The technology can be used to track the location of medical devices needed for inspections or repairs, and it can also be used to detect of a theft of an asset. In an asset-tracking system using WSN, acquiring the location of moving sensor nodes inherently introduces uncertainty in location determination. In fact, the sensor nodes attached to an asset are prone to failure from lack of energy or from physical destruction. Therefore, even if the asset is located within the predetermined area, the asset-tracking application could "misunderstand" that an asset has escaped from the area. This paper classifies the causes of such unexpected situations into the following five cases: 1) an asset has actually escaped from a predetermined area; 2) a sensor node was broken; 3) the battery for the sensor node was totally discharged; 4) an asset went into a shadow area; 5) a sensor node was stolen. We implemented and installed our asset-tracking system in a hospital and continuously monitored the status of assets such as ventilators, syringe pumps, wheel chairs and IV poles. Based on this real experience, we suggest how to differentiate each case of location uncertainty and propose possible solutions to prevent them.

키워드

참고문헌

  1. JungHee Jo, KwangSoo Kim, KiSung Lee, and SunJoong Kim, 2007. Location Uncertainty in Asset Tracking using Wireless Sensor Networks, International Symposium on Remote Sensing
  2. Rajendran N., Kamal P., Nayak D., and Rabara S.A., 2005. WATS-SN: a wireless asset tracking system using sensor networks, ICPWC, pp.237-243
  3. Parker T. and Langendoen K., 2004. Refined statisticbased localisation for ad-hoc sensor networks, GlobeCom Workshops, pp.90-95
  4. Yang Yu, Bhaskar Krishnamachari, and Prasanna, V. K., 2004. Issues in designing middleware for wireless sensor networks, Network, IEEE, pp.15-21
  5. Pavani, T., Costa, G., Mazzotti, M., Conti, A., and Dardari, D., 2006. Experimental Results on Indoor Localization Techniques through Wireless Sensors Network, Vehicular Technology Conference, pp.663-667
  6. Bahl, P. and Padmanabhan, V. N., 2000. RADAR: an in-building RF-based user location and tracking system, INFOCOM 2000, pp.775-784
  7. Chaczko Zenon, Klempous Ryszard, Nikodem Jan, and Nikodem Michal, 2007. Methods of Sensors Localization in Wireless Sensor Networks, Engineering of Computer-Based Systems, pp.145-152
  8. Tubaishat, M., Madria, and S., 2003. Sensor networks: an overview, Potentials, IEEE, pp.20-23
  9. Eliana Stavrou, Wireless Sensor Networks, part 2: Limitations, http://webhosting.devshed.com/c/a/Web-Hosting-Articles/Wireless-Sensor-Networks-part-2-Limitations/1/
  10. ARUBA, White Paper, Location & Tracking on the Mobile Edge
  11. Hadim, S., Mohamed and N., 2006. Middleware: middleware challenges and approaches for wireless sensor networks, Distributed Systems Online, IEEE