DocumentCode :
1980878
Title :
Spectrum-Aware Routing for Reliable End-to-End Communications in Cognitive Sensor Network
Author :
Yu, Rong ; Zhang, Yan ; Yao, Wenqing ; Song, Lingyang ; Xie, Shengli
Author_Institution :
South China Univ. of Technol., Guangzhou, China
fYear :
2010
fDate :
6-10 Dec. 2010
Firstpage :
1
Lastpage :
5
Abstract :
Sensor nodes in Cognitive Sensor Networks (CSNs) can work on different frequency bands (or channels) according to dynamically available wireless resources. This paper proposes a spectrum-aware routing scheme for CSNs, which jointly considers traffic balance, route configuration and power control for reliable end-to-end communications. Bayesian learning method is used to estimate the number of neighboring Primary Users (PUs) and Secondary Users (SUs). The estimated results effectively reflect the spectrum utilization and provide important information for route configuration. Multiple Attribute Decision Making (MADM) method is employed to combine the routing objectives of reliability, energy efficiency and path delay into a single target function. Randomized route selection strategy is adopted for traffic balance. The simulation results demonstrate that the proposed spectrum-aware routing scheme significantly improves the communication reliability, and simultaneously has satisfying performances in energy efficiency and end-to-end delay.
Keywords :
cognitive radio; decision making; radio spectrum management; telecommunication network reliability; telecommunication network routing; wireless sensor networks; Bayesian learning method; cognitive sensor network; energy efficiency; multiple attribute decision making method; path delay; power control; randomized route selection strategy; reliable end-to-end communication; route configuration; spectrum utilization; spectrum-aware routing; target function; traffic balance; wireless resources; Bayesian methods; Delay; Energy consumption; Estimation; Peer to peer computing; Reliability; Routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
ISSN :
1930-529X
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2010.5683183
Filename :
5683183
Link To Document :
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