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)
|
PDF (Authror Accepted Manuscript)
16360 HOSSAIN_ETX_Based_Positioning_System_2010.pdf - Accepted Version Download (199kB) | Preview |
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 / School / Research Centre / Research Group: | Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science |
Last Modified: | 04 Mar 2022 13:08 |
URI: | http://gala.gre.ac.uk/id/eprint/16360 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year