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http://dx.doi.org/10.5916/jkosme.2013.37.2.220

Fixed node reduction technique using relative coordinate estimation algorithm  

Cho, Hyun-Jong (한국해양대학교 전기전자공학과)
Kim, Jong-Su (한국해양대학교 기관시스템공학부)
Lee, Sung-Geun (한국해양대학교 전기전자공학부)
Kim, Jeong-Woo (동양대학교 전자유도기술학과)
Seo, Dong-Hoan (한국해양대학교 전기전자공학부)
Abstract
Recently, with the rapid development of factory automation and logistics system, a few workers were able to manage the broad workplace such as large vessels and warehouse. To estimate the exact location of these workers in the conventional wireless indoor localization systems, three or more fixed nodes are generally used to recognize the location of a mobile node consisting of a single node. However, these methods are inefficient in terms of node deployment because the broad workplace requires a lot of fixed nodes compared to workers(mobile nodes). Therefore, to efficiently deploy fixed nodes in these environments that need a few workers, this paper presents a novel estimation algorithm which can reduce the number of fixed nodes by efficiently recognizing the relative coordinates of two fixed nodes through a mobile node composed of three nodes. Also, to minimize the distance errors between mobile node and fixed node, rounding estimation(RE) technique is proposed. Experimental results show that the error rate of localization is improved, by using proposed RE technique, 90.9% compared to conventional trilateration in the free space. In addition, despite the number of fixed nodes can be reduced by up to 50% in the indoor free space, the proposed estimation algorithm recognizes precise location which has average error of 0.15m.
Keywords
USN(Ubiquitous Sensor Network); UWB(Ultra Wide Band); Indoor location system; Node deployment;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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