Distributed learning in mobile sensor networks using cross validation

Songhwai Oh, Jongeun Choi

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

2 Citations (Scopus)

Abstract

Mobile sensor networks can increase sensing coverage both in space and time and robustness against dynamic changes in the environment, compared to stationary wireless sensor networks. For operations in a dynamic or unknown environment, mobile sensors need the capability of learning a suitable model during its operations. However, due to the limited communication bandwidth, it is prohibited to share all measurements with other mobile sensors. In this paper, we propose an efficient distributed learning algorithm based on cross validation for mobile sensor networks, which takes the advantage of a multi-agent system and minimizes the communication overhead while achieving excellent performance, and demonstrate its performance in simulation.

Original languageEnglish
Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
Pages3845-3850
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, GA, United States
Duration: 2010 Dec 152010 Dec 17

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2010 49th IEEE Conference on Decision and Control, CDC 2010
CountryUnited States
CityAtlanta, GA
Period10/12/1510/12/17

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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  • Cite this

    Oh, S., & Choi, J. (2010). Distributed learning in mobile sensor networks using cross validation. In 2010 49th IEEE Conference on Decision and Control, CDC 2010 (pp. 3845-3850). [5717329] (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2010.5717329