DocumentCode
2450419
Title
Revisiting Multi-channel Communication to Mitigate Interference and Link Dynamics in Wireless Sensor Networks
Author
Gonga, Antonio ; Landsiedel, Olaf ; Soldati, Pablo ; Johansson, Mikael
Author_Institution
R. Inst. of Technol., KTH, Kista, Sweden
fYear
2012
fDate
16-18 May 2012
Firstpage
186
Lastpage
193
Abstract
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.
Keywords
interference suppression; radio links; radiofrequency interference; telecommunication network routing; telecommunication network topology; wireless channels; wireless sensor networks; adaptive routing; channel hopping; dense topology; end-to-end reliability; interference mitigation; link burstiness reduction; link dynamics; maximum burst loss; multichannel communication; multihop network; packet loss correlation; packet reception ratio; single-channel communication; temporal correlation; wireless sensor network; Correlation; IEEE 802.11 Standards; Interference; Measurement; Reliability; Routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing in Sensor Systems (DCOSS), 2012 IEEE 8th International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-1693-4
Type
conf
DOI
10.1109/DCOSS.2012.15
Filename
6227740
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