DocumentCode :
679386
Title :
Delay analysis of network coding in linear wireless sensor networks
Author :
Skulic, Jelena ; Gkelias, Athanasios ; Leung, Kin K.
Author_Institution :
Electr. & Electron. Eng. Dept., Imperial Coll. London, London, UK
fYear :
2013
fDate :
2-4 Dec. 2013
Firstpage :
25
Lastpage :
29
Abstract :
In this work we analytically calculate the gain, in terms of packet delay, obtained by the use of network coding in linear multi-hop wireless sensor network topologies. Moreover we calculate the exact packet delay (from the packet generation time to the time it is delivered to the sink nodes) as a function of the location of the source sensor node within the linear network. We demonstrate that network coding can reduce the total packet delivery delay by 48 %. The derived packet delay distribution formulas have been verified by simulations and can provide a benchmark for the delay performance of linear sensor networks. Our results will be used for the design of more efficient network coding based scheduling and routing algorithms in wireless sensor networks used for Structural Health Monitoring (SHM) of linear structures, such as bridges, tunes and pipelines.
Keywords :
bridges (structures); condition monitoring; network coding; pipelines; scheduling; structural engineering; wireless sensor networks; SHM; bridges; delay analysis; linear multihop wireless sensor network topologies; linear wireless sensor networks; network coding; packet delay; packet delay distribution formulas; packet generation time; pipelines; routing algorithms; scheduling algorithms; source sensor node; structural health monitoring; tunes; Bridges; Delays; Interference; Network coding; Reliability; Sensors; Wireless sensor networks; delay; network coding; network lifetime; reliability; structural health monitoring; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Sensor (ICWISE), 2013 IEEE Conference on
Conference_Location :
Kuching
Type :
conf
DOI :
10.1109/ICWISE.2013.6728774
Filename :
6728774
Link To Document :
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