실내 센서노드의 고정밀 위치인식을 위한 거리확장 및 축소 기반 다중-삼변측량법
An Enhanced Multi-lateration with Range Expansion and Reduction for Accurate Localization of Indoor Sensor Node
- 주제(키워드) Indoor localization , Multi-lateration , RSS
- 발행기관 아주대학교 정보통신전문대학원
- 지도교수 임재성
- 발행년도 2008
- 학위수여년월 2008. 2
- 학위명 석사
- 학과 및 전공 정보통신전문대학원 정보통신공학과
- 본문언어 영어
초록/요약
Due to the multi-path fading and shadow fading caused by obstacles, the localization schemes can have a large location error. Especially, the indoor localization is so difficult because channel is unstable and is easy to be fully faded. So the node can have large location errors or even it can not estimate its position because of the fading. In this paper, we modified the path-loss model that is proper to indoor environment and propose an enhanced version of Multi-lateration method to mitigate location error for sensor localization. The proposed method named as an RER (Range Expansion and Reduction) is an ROA(Received signal strength Of Arrival)-based scheme provides lower location error and larger number of sensor nodes estimating their position successfully than them of Multi-lateration, LS (Least Square) [1], and RWGH (Residual WeiGHted least square) [2].
more목차
Chapter 1. Introduction = 1
Chapter 2. Related works = 4
Chapter 3. The RER Scheme = 7
Chapter 3.1 Range Measurements and Master Node Selection = 9
Chapter 3.2 Range Expansion and Reduction (RER) = 9
Chapter 3.3 Multi-lateration = 17
Chapter 4. Simulation Environments = 22
Chapter 5. Simulation Results = 26
Chapter 6. Conclusions = 31
References = 32
