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Revisiting multi-channel communication to mitigate interference and link dynamics in wireless sensor networks
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0003-1590-3280
KTH, School of Electrical Engineering (EES), Automatic Control.
2012 (English)In: Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012, IEEE Computer Society, 2012, 186-193 p.Conference paper, Published paper (Refereed)
Abstract [en]

Multichannel communication has been proposed as alternative to adaptive (single-channel) routing protocols for mitigating the impact of interference and link dynamics in wireless sensor networks. While several studies have advocated features of both techniques (not without running up against contradicting arguments) a comprehensive study that aligns these results is still lacking. This paper aims at filling this gap. We present an experimental test bed setup used to perform extensive measurements for both single-channel and multichannel communication. We first analyze single-channel and multichannel communication over a single-hop in terms of packet reception ratio, maximum burst loss, temporal correlation of losses, and loss correlations across channels. Results show that multichannel communication with channel hopping significantly reduces link burstiness and packet loss correlation. For multi-hop networks, multi-channel communication and adaptive routing show similar end-to-end reliability in dense topologies, while multichannel communication can outperform adaptive routing in sparse networks with bursty links.

Place, publisher, year, edition, pages
IEEE Computer Society, 2012. 186-193 p.
Keyword [en]
Adaptive routing, Burst loss, Burstiness, Channel hopping, Comprehensive studies, Experimental testbed, Link dynamics, Multichannel communication, Multihop networks, Packet reception, Single-channel, Single-hop, Sparse network, Temporal correlations, Dynamics, Equipment testing, Sensors, Telecommunication
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-101580DOI: 10.1109/DCOSS.2012.15ISI: 000309235500025Scopus ID: 2-s2.0-84864223691ISBN: 978-076954707-7 (print)OAI: oai:DiVA.org:kth-101580DiVA: diva2:549379
Conference
8th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012; Hangzhou;16 May 2012 through 18 May 2012
Funder
ICT - The Next Generation
Note

QC 20120904

Available from: 2012-09-04 Created: 2012-08-30 Last updated: 2013-09-16Bibliographically approved

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Gonga, António

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Output format
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