Ad-hoc 통신 노드를 이용한 기회 컴퓨팅형 위치인식 및 상황인지 서비스 구조 설계

Design of Location and User Status Awareness Service Architecture Based on Opportunistic Computing with Ad-hoc Nodes

  • 김태현 (경북대학교 전자전기컴퓨터학부 실시간시스템 연구실) ;
  • 조형곤 (경북대학교 전자전기컴퓨터학부 실시간시스템 연구실) ;
  • 정설영 (경북대학교 전자전기컴퓨터학부 실시간시스템 연구실) ;
  • 강순주 (경북대학교 전자전기컴퓨터학부 실시간시스템 연구실)
  • 투고 : 2010.07.27
  • 심사 : 2010.12.03
  • 발행 : 2010.12.31

초록

최근 Ad-hoc 통신과 관련하여 기회 컴퓨팅(Opportunistic Computing)에 대한 관심이 점차로 커지고 있으며 실질적인 서비스 및 관련된 요구사항에 대한 연구가 크게 요구되고 있다. 본 논문에서는 가상의 기회 컴퓨팅 응용서비스인 "어린이 보호 시스템"에 대해 먼저 논의하고 이 서비스에 적합하도록 새롭게 제작된 사용자용 Ad-hoc 통신 장치인 휴대폰 연동형 노드(uMobile)와 의복내장형 노드(uClo)를 제안한다. uMobile은 휴대폰에 연결되어 휴대폰 통신과 Ad-hoc 통신을 연동할 수 있고 uClo는 다양한 센서를 사용하여 사용자의 상태정보를 인식하며 의복에 내장될 수 있도록 제작되었다. 개발된 통신 장치를 사용하여 위치인식과 상황인지 서비스를 구현하였고 실제 실내 환경에서 테스트하여 그 결과를 나타내었다. 본 연구가 기회 컴퓨팅 기반의 다양한 서비스를 위한 참조 서비스로 활용될 수 있을 것으로 기대한다.

In recent years opportunistic computing has gained popularity in Ad-hoc network research area and it is highly required to research for actual services and related requirements. In this paper we summarized a virtual opportunistic service that is named "Children Care System" and proposed an Ad-hoc communication node (uMobile) that is connected with cellular phone and a sensor node (uClo) which is embedding into clothes. uMobile can support cellular phone communication and Ad-hoc communication and uClo can be embedded into clothes and recognize the user status using multiple sensors. In this paper we implemented the location awareness and user status awareness services using uMobile and uClo. We also tested them in indoor situation and showed the result. We expect that our research can play a significant role to inspire another various opportunistic computing services.

키워드

참고문헌

  1. M. Conti and M. Kumar, "Opportunities in Opportunistic Computing," Computer, Vol.43, pp.42-50, 2010.
  2. L. Pelusi, et al., "Opportunistic networking: data forwarding in disconnected mobile ad hoc networks," Communications Magazine, IEEE, Vol.44, pp.134-141, 2006.
  3. P. Juang, et al., "Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet," presented at the Proceedings of the 10th international conference on Architectural support for programming languages and operating systems, San Jose, California, 2002.
  4. R. Mangharam, et al., "Voice over Sensor Networks," presented at the Proceedings of the 27th IEEE International Real-Time Systems Symposium, 2006.
  5. K. Baek-Gyu, et al., "U-FIPI: Ubiquitous Sensor Network Service Infra Supporting Bidirectional Location-Awareness between Mobile Nodes and Fixture Nodes," in Consumer Communications and Networking Conference, 2009. CCNC 2009. 6th IEEE, 2009, pp.1-3.
  6. R. Want, et al., "The active badge location system," ACM Trans. Inf. Syst., Vol.10, pp.91-102, 1992. https://doi.org/10.1145/128756.128759
  7. A. Kansal and F. Zhao, "Location and Mobility in a Sensor Network of Mobile Phones," in Proc. ACM SIGMM 17th Int'l Workshop on Network and Operating Systems Support for Digital Audio & Video, 2007.
  8. L. M. Ni, et al., "LANDMARC: Indoor Location Sensing Using Active RFID," Wireless Networks, Vol.10, pp.701-710, 2004. https://doi.org/10.1023/B:WINE.0000044029.06344.dd
  9. M. Kourogi, et al., "Indoor/Outdoor Pedestrian Navigation with an Embedded GPS/RFID/ Self-contained Sensor System," in Advances in Artificial Reality and Tele-Existence, ed, 2006, pp.1310-1321.
  10. S. Willis and S. Helal, "RFID information grid for blind navigation and wayfinding," in Wearable Computers, 2005. Proceedings. Ninth IEEE International Symposium on, 2005, pp.34-37.
  11. M. Huber, "Parasitic tracking: Enabling ubiquitous tracking through existing infrastructure," in Pervasive Computing and Communications, 2009. PerCom 2009. IEEE International Conference on, 2009, pp.1-2.
  12. T. Pering, et al., "The PSI Board: Realizing a Phone-Centric Body Sensor Network," in 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007), 2007, pp.53-58.
  13. J. Liu, et al., "uWave: Accelerometer-based personalized gesture recognition and its applications," Pervasive and Mobile Computing, Vol.5, pp.657-675, 2009. https://doi.org/10.1016/j.pmcj.2009.07.007
  14. P. Joseph, et al., "Telos: enabling ultra-low power wireless research," presented at the Proceedings of the 4th international symposium on Information processing in sensor networks, Los Angeles, California, 2005.
  15. E. Jovanov, et al., "A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation," Journal of NeuroEngineering and Rehabilitation, Vol.2, p.6, 2005. https://doi.org/10.1186/1743-0003-2-6
  16. H. Muhammad, et al., "MEASUREMENT OF ECG, RESPIRATORY RATE, TILTAND TEMPERATURE OF A PATIENTAND WIRELESS ZIGBEE DATATRANSMISSION," presented at the The 2nd International Symposium on Medical Information and Communication Technology (ISMICT'07), 2007.
  17. A. Saeed, et al., "A Scalable Wireless Body Area Network for Bio-Telemetry," Journal of information processing system, Vol.5, pp.77-86, 2009. https://doi.org/10.3745/JIPS.2009.5.2.077
  18. J. Ansari, et al., "Radio-Triggered Wake-ups with Addressing Capabilities for extremely low power sensor network applications," in Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on, 2008, pp.1-5.
  19. C. T. Ee, et al., "A Modular Network Layer for Sensornets," 7th USENIX Symposium on Operating Systems Design and Implementation pp.249-262, 2006.
  20. S. A. Munir, et al., "Mobile Wireless Sensor Network: Architecture and Enabling Technologies for Ubiquitous Computing," in Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on, 2007, pp.113-120.
  21. C. Chen, et al., "Designing energy-efficient wireless sensor networks with mobile sinks," in Proceedings of the Workshop on World-Sensor-Web (WSW-2006) at the 4th ACM Conference on Embedded Networked Sensor Systems (SenSys-06), 2006.
  22. D. Adam, et al., "An adaptive communication architecture for wireless sensor networks," presented at the Proceedings of the 5th international conference on Embedded networked sensor systems, Sydney, Australia, 2007.
  23. TTA, "Standard on I/O Connection Interface of Digital Cellular Phone," ed: http://www.tta.or.kr, 2002.
  24. M. A. Hanson, et al., "Body Area Sensor Networks: Challenges and Opportunities," Computer, Vol.42, pp.58-65, 2009.
  25. M. Chen, et al., "Body Area Networks: A Survey," Mobile Networks and Applications, pp.1-23, 2010.
  26. Pelusi, L., Passarella, A. and Conti, M. Opportunistic networking: data forwarding in disconnected mobile ad hoc networks. Communications Magazine, IEEE, 44, 11 2006), 134-141.