DOI QR코드

DOI QR Code

Design and implementation of low-power tracking device based on IEEE 802.11

IEEE 802.11 기반 저전력 위치 추적 장치의 설계 및 구현

  • Son, Sanghyun (Department of Computer Engineering, Pusan National University) ;
  • Kim, Taewook (Young-poong Electronics) ;
  • Baek, Yunju (Department of Computer Engineering, Pusan National University)
  • Received : 2013.10.31
  • Accepted : 2013.12.18
  • Published : 2014.02.28

Abstract

According to wireless network technology and mobile processors performance were improved, the small wireless mobile device such as smart phones has been widely utilized. The mobile devices can be used GPS information, thereby the services based on location information was increased. GPS was impossible to provide location information in indoor and signal shading environment, and the tracking systems based on short distance wireless communication are required infrastructure. The IEEE 802.11 based tracking system is possible estimation using APs, however the tracking device is exhausted battery power seriously. In this paper, we propose IEEE 802.11 based low-power tracking system. We reduced power consumption from channel scanning and network connection. For performance evaluation, we designed and implemented the tracking tag device, and measured power consumption of the device. As the simulation result, we confirmed that the power consumption was reduced 46% compare to the standard execution.

무선 네트워크 기술과 모바일 프로세서의 성능이 향상됨에 따라 스마트 폰과 같은 무선통신이 가능한 소형 단말이 널리 활용되고 있다. 이러한 이동형 장치는 GPS를 이용하여 위치정보의 활용이 가능하여 위치정보를 기반으로 하는 서비스가 증가하고 있다. GPS는 위성신호를 수신할 수 없는 실내와 전파음영지역에서 위치 정보를 제공하지 못하며, 근거리 통신기술을 이용하는 시스템은 인프라의 구축이 필수적이다. IEEE 802.11을 기반으로 하는 추적 시스템은 널리 보급된 AP 인프라를 기반으로 위치 측정이 가능하나 표준 동작을 따를 때 심각한 전력소모의 문제가 있다. 본 논문에서는 IEEE 802.11 기반 저전력 위치 추적 장치를 제안한다. 저전력 동작을 위해 채널 검색 및 연결유지로 인한 전력소모를 최소화하여 동작시간을 극대화 하였다. 성능평가를 위해 저전력 태그 장치를 설계 및 구현하여 전력소모를 측정하였으며, 시뮬레이션 결과 기본 방법에 비해 제안 방법의 전력소모가 46% 감소함을 확인하였다.

Keywords

References

  1. G. Y. Kim, I. H. Park, Y. R. I m, A. R. Hong, J. Y. Kim, Y. A. Shin, "Recent Trends in location-based services," Information and Communication: Journal of Korea Information and Communications, Vol 28, No. 7, 2011.
  2. P. Bahl and V. N. Padmanabhan, "RADAR: An In-Building RF-Based User Location and Tracking System," Proceedings of IEEE Infocom 2000 Conference on Computer and Communication, Vol.2, pp.775-784, Mar 2000.
  3. R. J. Fontana and S. J. Gunderson, "Ultra-wideband precision asset location system," Proceeding of IEEE Conference on Ultra Wideband Systems and Technologies, pp.147-150, 2002.
  4. J. Hallberg, M.. Nilsson, and K. Synnes, "Bluetooth Positioning," Proceeding of The Third Annual Symposium on Computer Science and Electrical Engineering, pp.27-28, 2003.
  5. J. Y. Paek, et al. "Energy-efficient positioning for smartphones using cell-id sequence matching." Proceedings of the 9th international conference on Mobile systems, applications, and services. ACM, 2011.
  6. C. B. Lim, S. H. Kang, H. H. Cho, S. W. Park, and J. G. Park, "An Enhanced Indoor Localization Algorithm Based on IEEE 802.11 WLAN Using RSSI and Multiple Parameters," Proceeding of 2010 Fifth International Conference on Systems and Networks Communications (ICSNC), pp.238-242, 2010.
  7. J. Krumm and E. Horvitz, "LOCADIO: Inferring Motion and Location from Wi-Fi Signal Strengths," Proceeding of The First Annual International Conference on Mobile and Ubiquitous Systems(MOBIQUITOUS 2004), pp.4-13, Aug. 2004.
  8. N. Alessandro, D. Nepi, and A. M. Vegni. "DOA and TOA based localization services protocol in IEEE 802.11 networks." Wireless personal communications (2010): 155-168.
  9. C. Hoene and J. Willmann, "Four-way TOA and Software-Based Trilateration of IEEE 802.11 Devices," Proceeding of IEEE 19th International Symposium on Indoor and Mobile Radio Communications, pp.1-6, 2008.
  10. Liu, Hui, et al. "Survey of wireless indoor positioning techniques and systems." Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on Vol37, No. 6, pp.1067-1080. 2007. https://doi.org/10.1109/TSMCC.2007.905750
  11. Gu, Yanying, Anthony Lo, and Ignas Niemegeers. "A survey of indoor positioning systems for wireless personal networks." Communications Surveys & Tutorials, IEEE Vol. 11, No. 1, pp.13-32. 2009. https://doi.org/10.1109/SURV.2009.090103
  12. Chen, Ping, et al. "Survey of WLAN Fingerprinting Positioning System." Applied Mechanics and Materials 380, pp.2499-2505. 2013.
  13. IEEE Std. 802.11, IEEE standard for a Wireless LAN Medium Access Control(MAC) and Physical Layer(PHY) Specifications, IEEE, 2007.
  14. GainSpan, "DS003 -GS1011MIP/MIE/MEP/MEE Module Datasheet," http://www.gainspan.com, 201
  15. ipTIME : http://www.iptime.co.kr