Connectivity-Based Self-Localization in WSNs
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Date
2013-09
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
Efficient localization methods are among the major challenges in wireless sensor networks today. In this paper, we present our so-called connectivity based approach i.e, based on local connectivity information, to tackle this problem. At first the method fragments the network into larger groups labeled as packs. Based on the mutual connectivity relations with their surrounding packs, we identify border nodes as well as the central node. As this first approach requires some a-priori knowledge on the network topology, we also present a novel segment-based fragmentation method to estimate the central pack of the network as well as detecting so-called corner packs without any a-priori knowledge. Based on these detected points, the network is fragmented into a set of even larger elements, so-called segments built on top of the packs, supporting even more localization information as they all reach the central node.
Description
Citation
Radioengineering. 2013, vol. 22, č. 3, s. 818-827. issn 1210-2512
http://www.radioeng.cz/fulltexts/2013/13_03_0818_0827.pdf
http://www.radioeng.cz/fulltexts/2013/13_03_0818_0827.pdf
Document type
Peer-reviewed
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Published version
Date of access to the full text
Language of document
en