Volume 4 Number 6 (Aug. 2009)
Home > Archive > 2009 > Volume 4 Number 6 (Aug. 2009) >
JSW 2009 Vol.4(6): 599-604 ISSN: 1796-217X
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


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, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
  • E-mail: jsweditorialoffice@gmail.com
  • APC: 500USD
  • Jun 12, 2024 News!

    Vol 19, No 2 has been published with online version   [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Mar 01, 2024 News!

    Vol 19, No 1 has been published with online version    [Click]