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Link-delay and spectrum-availability aware routing in cognitive sensor networks

Authors
Tran-Dang, HoaKim, Dong-Seong
Issue Date
15-Dec-2020
Publisher
INST ENGINEERING TECHNOLOGY-IET
Keywords
wireless sensor networks; cognitive radio; radio spectrum management; routing protocols; signal detection; wireless channels; telecommunication network reliability; link-delay; spectrum-availability aware routing; routing protocols; spectrum sensing; spectrum-availability analysis; per-hop delay analysis; spectrum dynamics; sensing period; communication history; cognitive users; communication interruptions; primary users; routing paths; shortest delay; reliable communication; routing algorithms; network performances; energy consumption; multichannel multihop cognitive radio sensor networks; CRSN; communication interruption mitigation; transmission performance improvement
Citation
IET COMMUNICATIONS, v.14, no.20, pp 3639 - 3651
Pages
13
Journal Title
IET COMMUNICATIONS
Volume
14
Number
20
Start Page
3639
End Page
3651
URI
https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/25890
DOI
10.1049/iet-com.2019.0994
ISSN
1751-8628
1751-8636
Abstract
This study designs and presents routing protocols multi-channel, multi-hop cognitive radio sensor network (CRSN), which are based on spectrum sensing, spectrum-availability analysis and per-hop delay analysis. In order to cope with the spectrum dynamics in the CRSNs, a framework is proposed to estimate the remaining duration of spectrum availability which is based on the expected idle length of channels, sensing period and communication history on the channel. Such methodology allows cognitive users to mitigate communication interruptions caused by arrivals of primary users, thus to improve the transmission performance over each hop. In particular, in combination with the per-hop delay analysis, the routing paths from sources to the sink can be established such as they provide the shortest delay opportunistically or shorter delay but reliable communication along the selected paths. Extensive simulation results show that the proposed routing algorithms potentially improve the network performances in terms of throughput, delay and energy consumption.
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