Mobile robot tracking in the BSN using support vector machine

Wooyong Chung, Hyukdoo Choi, Euntai Kim

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

Abstract

This paper presents a localization algorithm for mobile node, such as robot in the binary sensor network. The binary sensor network can be constructed with any systems, wireless LANs or other communication methods. Our proposed location estimation process is based on support vector machine. We find optimal separating hyperplane which classifies sensor groups, and we estimate the position of mobile robot with radio range constraints. The proposed method can be used in the noisy communication environment. Simulation results are given to show the better performance of the proposed method than other methods.

Original languageEnglish
Title of host publication54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011
DOIs
Publication statusPublished - 2011 Oct 13
Event54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011 - Seoul, Korea, Republic of
Duration: 2011 Aug 72011 Aug 10

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Other

Other54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011
CountryKorea, Republic of
CitySeoul
Period11/8/711/8/10

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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  • Cite this

    Chung, W., Choi, H., & Kim, E. (2011). Mobile robot tracking in the BSN using support vector machine. In 54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011 [6026532] (Midwest Symposium on Circuits and Systems). https://doi.org/10.1109/MWSCAS.2011.6026532