Method of reducing search area for localization in sensor networks

Junichi Shirahama, Tomoaki Ohtsuki, Toshinobu Kaneko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

One typical use of sensor networks is monitoring targets. The sensor networks classify, detect, locate, and track targets. The ML (Maximum likelihood) algorithm is one of the estimation algorithms of target location and has high accuracy to estimate target location. However, the calculation amount of the ML estimation algorithm is large. Energy-Ratios Source Localization Nonlinear Least Square (ER-NLS) is proposed to realize the ML algorithm. ER-NLS is the algorithm of estimating source location by using the ratio of sensors' receiving energies. However, ER-NLS has to search all the areas, so that the calculation amount of ER-NLS is large. In this paper we propose a method of reducing search area for localization. The proposed method uses the ratio of sensors' receiving energies. It can be used with the ML algorithm. We show that the proposed method with the ML algorithm can reduce the search areas to estimate the target location and thus reduce the complexity, while achieving the RMSE (root mean square error) close to that of the ML algorithm.

Original languageEnglish
Title of host publication2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings
Pages354-357
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia
Duration: 2006 May 72006 Jul 10

Publication series

NameIEEE Vehicular Technology Conference
Volume1
ISSN (Print)1550-2252

Other

Other2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring
CountryAustralia
CityMelbourne
Period06/5/706/7/10

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ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Shirahama, J., Ohtsuki, T., & Kaneko, T. (2006). Method of reducing search area for localization in sensor networks. In 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings (pp. 354-357). [1682835] (IEEE Vehicular Technology Conference; Vol. 1). https://doi.org/10.1109/VETECS.2005.1543310