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An ETX based positioning system for wireless ad-hoc networks

An ETX based positioning system for wireless ad-hoc networks

Hossain, A.K.M. Mahtab, Mekbungwan, Preechai and Kanchanasut, Kanchana (2012) An ETX based positioning system for wireless ad-hoc networks. Mobile and Ubiquitous Systems: Computing, Networking, and Services. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (73). Springer Berlin Heidelberg, pp. 174-185. ISBN 978-3-642-29153-1 ISSN 1867-8211 (doi:https://doi.org/10.1007/978-3-642-29154-8_15)

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Abstract

RF-based localization has gained popularity because it offers low-cost positioning solution for ad-hoc networks. The Received Signal Strength (RSS) measured by a node has traditionally been used as a parameter to estimate location. However, RSS is not made readily available in the ad-hoc routing protocols like some other link quality indication parameter, e.g., Expected Transmission Count (ETX). ETX predicts the number of transmissions required to deliver a packet over a particular link, including retransmissions. We reveal that ETX can be shown as a proximity indicator relative to an anchor node (i.e., node with known position), and thereby, could also be utilized as a location estimation parameter similar to RSS. We implement a localization plugin for the popular ad-hoc routing protocol, Optimized Link State Routing (OLSR) based on ETX. Our analysis and experiments show favorable results.

Item Type: Book Section
Additional Information: Book subtitle: 7th International ICST Conference, MobiQuitous 2010, Sydney, Australia, December 6-9, 2010, Revised Selected Papers
Uncontrolled Keywords: Localization; Positioning System; Ad-hoc Networks; Expected Transmission Count (ETX); Optimized Link State Routing (OLSR)
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Last Modified: 27 Feb 2017 16:54
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/16360

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