Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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A wireless sensor network approach to enable location awareness in ubiquitous healthcare applications

  • Singh, Vinay Kumar (Department of Ubiquitous and Network Eng., Graduate School of Design & IT, Dongseo University) ;
  • Lim, Hyo-Taek (Division of Computer & Information Engineering, Dongseo University) ;
  • Chung, Wan-Young (Division of Computer & Information Engineering, Dongseo University)
  • Published : 2007.07.31
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Abstract

In this paper, we outline the research issues that we are pursuing towards building of location aware environments for mainly ubiquitous healthcare applications. Such location aware application can provide what is happening in this space. To locate an object, such as patient or elderly person, the active ceiling-mounted reference beacons were placed throughout the building. Reference beacons periodically publish location information on RF and ultrasonic signals to allow application running on mobile or static nodes to study and determine their physical location. Once object-carried passive listener receives the information, it subsequently determines it's location from reference beacons. The cost of the system was reduced while the accuracy in our experiments was fairly good and fine grained between 7 and 12 cm for location awareness in indoor environments by using only the sensor nodes and wireless sensor network technology. Passive architecture used here provides the security of the user privacy while at the server the privacy was secured by providing the authentication using Geopriv approach. This information from sensor nodes is further forwarded to base station where further computation is performed to determine the current position of object.

Keywords

References

  1. B. Schilit, N. Adams, and R. Want, 'Context-aware computing applications', Proc. Workshop on Mobile Computing System Applications, pp. 85-90, Santa Cruz, CA, 1994
  2. 이대석, 정완영, '유비쿼터스 헬스케어를 위한 센서네트워크 기반의 심전도 및 체온 측정시스템-1. 생체신호 모니터링 소프트웨어 시스템', 센서학회지, 제15권, 제6호, pp. 417-424, 2006 https://doi.org/10.5369/JSST.2006.15.6.417
  3. 신광식, 권준달, 이영동, 정완영, '무선 센서네트워크 기술을 활용한 Ad-hoc 홈 네트워크 시스템', 센서학회지, 제16권, 제2호, pp. 142-149, 2007 https://doi.org/10.5369/JSST.2007.16.2.142
  4. P. Enge and P. Misra, 'Special issue on GPS: The global positioning system', Proc. of the IEEE, vol. 87, no. I, pp. 3-15, 1999
  5. P. Bahl and V. N. Padmanabhan, 'RADAR: An inbuilding RF based user location and tracking system', Proc. IEEE INFOCOM 2000, Tel-Aviv, Israel, vol. 2, pp. 775-784, 2000
  6. A. Ward and A. Jones, 'A new location technique for the active office', IEEE Personal Communications, vol. 4, no. 5, pp. 42-47
  7. R. Want, A. Hopper, V. Falcao, and J. Gibbons, 'The active badge location system', ACM Transactions on Information System, vol. 10, no. 1, pp. 91-102, 1992 https://doi.org/10.1145/128756.128759
  8. MCS410 CA Cricket Sensor node www.xbow.com
  9. J.Hightower and G. Borriello, 'Location systems for ubiquitous computing', Computer, vol. 34, no. 8, pp. 57-66, 2001
  10. A. Smith, H. Balakrishnan, M. Goraczko, and N. Priyantha, 'Tracking moving devices with the cricket location system', Proc. 2nd International Conference on Mobile Systems, Applications and Services (Mobisys), pp. 190-202, 2004
  11. D. Gay, P. Levis, D. Culler, and E. Brewer, nesC 1.1 Language Reference Manual, 2003
  12. TinyOS at www.tinyos.net
  13. N. Priyantha, A. Chakraborty and H. Balakrishnan, 'The cricket location-support system', Proc. 6th ACM MOBICOM 2000, Boston, MA, 2000
  14. Geographic LocationlPrivacy (Geopriv) Charter. http :llwww.ietf.orglhtml.charters/geoprivchater.html
  15. G. Virone, A. Wood, L. Selavo, Q. Cao, L. Fang, T. G. Virone, A. Wood, L. Selavo, Q. Cao, L. Fang, T. Doan, Z. He, R. Stoleru, S. Lin, J. A. Stankovic, L. Fang, T. Doan, Z. He, R. Stoleru, S. Lin, and J. A. Stankovic, 'ALARM-NET: An assisted living-centered and testbed-oriented in-formation system based on a residential wireless sensor network', Proc. Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare (D2H2) 2006, Arlington, VA, 2006
  16. Ubiquitous Sensor Network Laboratory. www.dsunano. net

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