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 Dec 1
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

Fingerprint

Mobile Sensor Networks
Cross-validation
Sensor networks
Wireless networks
Sensor
Communication
Sensors
Distributed Algorithms
Multi agent systems
Parallel algorithms
Learning algorithms
Multi-agent Systems
Wireless Sensor Networks
Wireless sensor networks
Learning Algorithm
Coverage
Sensing
Bandwidth
Robustness
Minimise

All Science Journal Classification (ASJC) codes

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

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
Oh, Songhwai ; Choi, Jongeun. / Distributed learning in mobile sensor networks using cross validation. 2010 49th IEEE Conference on Decision and Control, CDC 2010. 2010. pp. 3845-3850 (Proceedings of the IEEE Conference on Decision and Control).
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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., 5717329, Proceedings of the IEEE Conference on Decision and Control, pp. 3845-3850, 2010 49th IEEE Conference on Decision and Control, CDC 2010, Atlanta, GA, United States, 10/12/15. https://doi.org/10.1109/CDC.2010.5717329

Distributed learning in mobile sensor networks using cross validation. / Oh, Songhwai; Choi, Jongeun.

2010 49th IEEE Conference on Decision and Control, CDC 2010. 2010. p. 3845-3850 5717329 (Proceedings of the IEEE Conference on Decision and Control).

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

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