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F-ETX: An Enhancement of ETX Metric for Wireless Mobile Networks

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Communication Technologies for Vehicles (Nets4Cars/Nets4Trains/Nets4Aircraft 2015)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9066))

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Abstract

The accuracy and the reactivity of link quality estimators are key concepts in Mobile Ad hoc networks (MANETs) and especially in Vehicular Ad hoc Networks (VANETs), since routing process uses link quality related metrics based on neighbour information for making routing decisions. The Expected Transmission Count (ETX) is the most salient metric that assesses the link quality for wireless ad hoc and mesh networks. Its estimation varies according to the link changes like disruption and bidirectional to unidirectional switching. Such changes occur more often in highly mobile networks like VANETs. In order to be efficient routing protocols have to deal with these events. It has been observed that current implementation of ETX leads to a limited accuracy and cannot be efficient in VANETs. In this paper is presented an algorithm which makes the ETX metric more adapted for VANETs. Our contribution significantly improves the reactivity and the accuracy of the metric. In addition, our metric is not limited to the link quality estimation but also brings a link stability information. This results a new metric called Fast-ETX (F-ETX). This metric has been tested under realistic physical layer and mobility patterns to evaluate its reactivity, accuracy and stability properties.

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© 2015 Springer International Publishing Switzerland

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Bindel, S., Chaumette, S., Hilt, B. (2015). F-ETX: An Enhancement of ETX Metric for Wireless Mobile Networks. In: Kassab, M., Berbineau, M., Vinel, A., Jonsson, M., Garcia, F., Soler, J. (eds) Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2015. Lecture Notes in Computer Science(), vol 9066. Springer, Cham. https://doi.org/10.1007/978-3-319-17765-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-17765-6_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17764-9

  • Online ISBN: 978-3-319-17765-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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