Work

Link quality estimation with the Gilbert-Elliot model for wireless sensor networks

Year: 2015

Type: conference-paper

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.

Source: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

DOI: 10.1109/pimrc.2015.7343635

Authors: Ana Bildea, Olivier Alphand, Franck Rousseau, Andrzej Duda

Institutions: Centre National de la Recherche Scientifique, Laboratoire d'Informatique de Grenoble, Université Grenoble Alpes

Language: English

Topic: Energy Efficient Wireless Sensor Networks

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1941036076

FWCI: 0.665

Cites: 19

Cited by: 40

Related to: 10