JSW 2009 Vol.4(6): 599-604 ISSN: 1796-217X
doi: 10.4304//jsw.4.6.599-604
doi: 10.4304//jsw.4.6.599-604
Research on Spatial Location Unit Distribution Model in Pervasive Computing
Hai-cheng Li, Yan Zhou
Information Technology College, Eastern Liaoning University, Dandong 118003, China
Abstract—How to obtain location information of an unknown node precisely is a key problem of locating service under ubiquitous computing environment. The paper proposes and proves the theorem of spatial location unit distribution model according to the analysis of the location error produced during location using the polygon location method in the three-dimensional space. On this basis, the location unit selection (LUS) algorithm is proposed by improving on the traditional polygon location algorithm. The simulation results indicate that the location unit distribution model theorem and the LUS algorithm can meet the requirements of a ubiquitous terminal’s real-time location and possess a preferable precision in location.
Index Terms—pervasive computing, location error, location unit distribution model, location unit selection (LUS) algorithm
Abstract—How to obtain location information of an unknown node precisely is a key problem of locating service under ubiquitous computing environment. The paper proposes and proves the theorem of spatial location unit distribution model according to the analysis of the location error produced during location using the polygon location method in the three-dimensional space. On this basis, the location unit selection (LUS) algorithm is proposed by improving on the traditional polygon location algorithm. The simulation results indicate that the location unit distribution model theorem and the LUS algorithm can meet the requirements of a ubiquitous terminal’s real-time location and possess a preferable precision in location.
Index Terms—pervasive computing, location error, location unit distribution model, location unit selection (LUS) algorithm
Cite: Hai-cheng Li, Yan Zhou, "Research on Spatial Location Unit Distribution Model in Pervasive Computing," Journal of Software vol. 4, no. 6, pp. 599-604, 2009.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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