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Link Quality Estimation with the Gilbert-Elliot Model for Wireless Sensor Networks

Ana Bildea 1 Olivier Alphand 1 Franck Rousseau 1 Andrzej Duda 1 
1 Drakkar
LIG - Laboratoire d'Informatique de Grenoble
Abstract : In this paper, we apply the Gilbert-Elliot model to analyze measurements on a large-scale wireless sensor testbed with nodes equipped with CC1101 and CC2420 radio chips. The model considers a packet loss process as a sequence of transitions between Good and Bad states. We analyze the Packet Reception Ratio (PRR) based on the probabilities derived from the Gilbert-Elliot model. We show that the probabilities and other parameters (run and loss lengths) can very well discriminate between the main categories of link quality such as good and weak links. Identification of link quality is crucial for routing protocols such as RPL and LOADng.
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Submitted on : Wednesday, February 28, 2018 - 6:33:00 PM
Last modification on : Wednesday, July 6, 2022 - 4:24:38 AM
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Ana Bildea, Olivier Alphand, Franck Rousseau, Andrzej Duda. Link Quality Estimation with the Gilbert-Elliot Model for Wireless Sensor Networks. International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2015), Aug 2015, Hong-Kong, China. ⟨10.1109/PIMRC.2015.7343635⟩. ⟨hal-01188270⟩



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