상세정보
학술대회
Automatic WBAN Area Recognition Using P2P Signal Strength in Office Environment
- 발행일
- 201402
- 출처
- International Conference on Advanced Communication Technology (ICACT) 2014, pp.282-285
- 협약과제
- 13VS2800, 디바이스 소셜리티를 이용한 무설정 방식의 이종사 디바이스 간 상호 연동 기술개발, 배창석
- 초록
- The distance estimation between mobile devices is a fundamental issue for a lot of applications of indoor wireless body area network (WBAN). The RSSI have been used to estimate the distance based on the received signal strength from another mobile device. Theoretically, the signal strength is inversely proportional to squared distance, and there is a known radio propagation model that is used to convert the signal strength into distance. However, in real environments, it is hard to measure distance using RSSI because of noises, obstacles, and the type of antenna. Distance estimation using RSSI in real-world applications is still questionable because of inaccuracy. However, RSSI could become the most used technology of distance estimation from the cost/precision viewpoint because of low cost. Mobile devices need to recognize each other in office environment automatically. However, distance estimation using the RSSI of Bluetooth is difficult because of large deviation of RSSI value. This paper provides the experimental results of RSSI measurement between mobile devices in office environment. And it applies the Low Pass Filter (LPF) to reduce the deviation of RSSI value. This paper shows that the distance estimation to recognize WBAN area is possible clearly when Bluetooth RSSI LPF data are used. © 2014 Global IT Research Institute (GIRI).
- KSP 제안 키워드
- Bluetooth RSSI, Body Area Networks(BANs), Distance-based, Large deviations, Low-cost, Mobile devices, RSSI measurement, RSSI value, Radio signal strength(RSS), Real-world applications, Research institute