Poster Abstract: Link Quality Estimation—A Case Study for On-line Supervised Learning in Wireless Sensor Networks

Feo Flushing, Eduardo and Kudelski, Michal and Nagi, Jawad and Gambardella, Luca Maria and Di Caro, Gianni (2014) Poster Abstract: Link Quality Estimation—A Case Study for On-line Supervised Learning in Wireless Sensor Networks. In: Real-World Wireless Sensor Networks 5th Workshop on Real-World Wireless Sensor Networks (REALWSN), September 19-20, 2013, Como Lake, Italy.

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Abstract

We focus on the implementation issues of on-line, batch supervised learning in computationally limited devices. As a case study, we consider the use of such techniques for link quality estimation. We compare three strategies for the on-line selection of the data samples to be kept in memory and used for learning. Results suggest that strategies that keep balanced the set of training samples in terms of ranges of target values provide better accuracy and faster convergence.

Item Type:	Article in conference proceedings or Presentation at a conference (Poster)
Subjects:	Computer sciences > Computer science > Networks & communications Computer sciences > Artificial intelligence > Machine learning
Department/unit:	Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull’intelligenza artificiale USI-SUPSI
Depositing User:	Eduardo Feo
Date Deposited:	14 Mar 2014 08:08
Last Modified:	14 Mar 2014 08:08
URI:	http://repository.supsi.ch/id/eprint/4457

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