Browse > Article
http://dx.doi.org/10.7236/JIWIT.2012.12.1.29

A RSS-Based Localization for Multiple Modes using Bayesian Compressive Sensing with Path-Loss Estimation  

Ahn, Tae-Joon (Dept. of Electrical Engineering, Ulsan university)
Koo, In-Soo (Dept. of Electrical Engineering, Ulsan university)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.12, no.1, 2012 , pp. 29-36 More about this Journal
Abstract
In Wireless Sensor Network(WSN)s, the detection of precise location of each node is essential for utilizing sensing data acquired from sensor nodes effectively. Among various location methods, the received signal strength(RSS) based localization scheme is mostly preferable in many applications because it can be easily implemented without any additional hardware cost. Since a RSS-based localization scheme is mainly affected by radio channel or obstacles such as building and mountain between two nodes, the localization error can be inevitable. To enhance the accuracy of localization in RSS-based localization scheme, a number of RSS measurements are needed, which results in the energy consumption. In this paper, a RSS based localization using Bayesian Compressive Sensing(BSS) with path-loss exponent estimation is proposed to improve the accuracy of localization in the energy-efficient way. In the propose scheme, we can increase the adaptative, reliability and accuracy of localization by estimating the path-loss exponents between nodes, and further we can enhance the energy efficiency by the compressive sensing. Through the simulation, it is shown that the proposed scheme can enhance the location accuracy of multiple unknown nodes with fewer RSS measurements and is robust against the channel variation.
Keywords
수신신호세기;위치추정 알고리즘;압축 센싱;전력 손실 지수 추정;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 표철식, 정운철, 김말희, 오세원, 박주상, "RFID/USN 융합 기술의 발전전망 및 국제 표준화 동향", 정보와 통신, Vol.28 No.9, pp. 10-20, 2011.
2 강형서, 구인수, "무선 센서 네트워크에서 수신신호세기와 전력손실지수 추정을 활용하는 비콘 노드 기반의 위치 추정 기법", 한국인터넷방송통신학회 논문지, 제11권 1호, 2011.   과학기술학회마을
3 D. L. Donoho, "Compressive Sensing", IEEE Trans. Info. Theory, vol.52, pp. 1289-1306, 2006.   DOI   ScienceOn
4 S.Ji, Y.Xue and L.Carin "Bayesian Compressive Sensing", IEEE Trans, Signal Processing, vol.56, no.6, 2008.
5 S. S. Chen, D. L. Donoho, and M. A. Saunders, "Atomic decomposition by basis pursuit," SIAM Journal on Scientific Computing, vol.20, pp. 33-61, 1998.   DOI   ScienceOn
6 E. Candes and T. Tao, "The dantzig selector: statistical estimation when p is much larger than n" Technical report, UCLA, 2005.
7 Rappaport, T. Wireless Communication: Principles and Practice, 2nd Ed; Prentice-Hall 2002.
8 Jia Meng, Husheng Li and Zhu Han, "Sparse Event Detection in Wireless Sensor Networks using Compressive Sensing", Information Sciences and Systems, 2009. 43rd Annual Conference, pp. 181-185, 2009.
9 Chen Feng, Valaee S., and Zhenhui Tan, "Multiple Target Localization Using Compressive Sensing", Global Telecommunications Conference, pp.1 - 6, 2009.
10 M.E. Tipping, "Sparse Bayesian learning and the relevance vector machine", J. Mach. Learn. Res., vol. 1, pp. 211-244, 2001.
11 이흥노, 박상준, 박순철 "압축센싱 소개", 전자공학회지, Vol.38. No.1, p19-30, 2011.   과학기술학회마을
12 Yasamin Mostofi, Pradeep Sen, "Compressive Cooperative Sensing and Mapping in Mobile Networks." ,Proceedings of American Control Conference (ACC), Page(s):3397 - 3404, June 2009.