Employing CHNN to develop a data refining algorithm for wireless sensor networks

Joy Iong Zong Chen, Chieh Chung Yu, Meng Tsu Hsieh, Yi-Nung Chung

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

2 Citations (Scopus)

Abstract

In this report a data fusion algorithm (DFA) for obtaining the relationships between wireless sensor measurements and existing tracks is proposed. It is known that a DFA plays an important role in wireless sensors for target tracking over WSN (wireless sensor network) deployments. However, a new approach to data fusion based on the CHNN (competitive Hopfield neural network) is here investigated, wherein the matching between mobile sensor measurements and existing target tracks can achieve global consideration. Embedded within the CHNN is also a competitive learning mechanism which creatively removes the dilemma of occasional irrational solutions in traditional HNN (Hopfield neural networks). In this research, it is also established that with the proposed approach, the network is guaranteed to converge into a stable state when performing a data association. The CHNN-based DFA is combined with mobile sensors in a WSN system to demonstrate the target tracking capabilities. Finally, computer simulation results indicate that this approach successfully solves the data association problems addressed over WSN environments.

Original languageEnglish
Title of host publication2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Pages24-31
Number of pages8
DOIs
Publication statusPublished - 2009 Nov 12
Event2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 - Los Angeles, CA, United States
Duration: 2009 Mar 312009 Apr 2

Publication series

Name2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Volume1

Other

Other2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
CountryUnited States
CityLos Angeles, CA
Period09-03-3109-04-02

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Software

Cite this

Chen, J. I. Z., Yu, C. C., Hsieh, M. T., & Chung, Y-N. (2009). Employing CHNN to develop a data refining algorithm for wireless sensor networks. In 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 (pp. 24-31). [5171127] (2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009; Vol. 1). https://doi.org/10.1109/CSIE.2009.666