DocumentCode :
496145
Title :
A Heterogeneous Multi-channel Assignment Algorithm Based on Neighbor Information and Channel Usage Statistics
Author :
Peng, Jun ; Li, ChunMing
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Volume :
1
fYear :
2009
fDate :
25-26 July 2009
Firstpage :
542
Lastpage :
545
Abstract :
Channel assignment algorithm has a direct impact on the performance of multi-channel wireless network. The wireless networkpsilas heterogeneous characteristic makes its channel assignment algorithm more complex. To address this issue, this paper gives a solution. By sharing neighbor nodespsila interface-channel information and channel usage frequency statistics, an integrated channel selection metric-CGSBM (Channel Gain and Statistic Based Metric) was designed. Then a heterogeneous channel assignment algorithm was designed based on CGSBM. The algorithm can help nodes having a global view when they are allocating channels and therefore it can take full advantage of the network resources and minimize the transmission interfere, eventually improve the aggregated network throughput. Finally, the simulation studies prove the algorithm´s effectiveness in network throughput improvement.
Keywords :
channel allocation; radio networks; statistical analysis; wireless channels; CGSBM; channel allocation; channel usage frequency statistics; heterogeneous multichannel assignment algorithm; multichannel wireless network; neighbor information; transmission interfere minimization; Algorithm design and analysis; Costs; Electronic mail; Information science; Interference; Routing protocols; Scheduling; Statistics; Throughput; Wireless networks; channel assignment; channel usage statistics; heterogeneous multi-channel WMN; neighbor information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
Type :
conf
DOI :
10.1109/ITCS.2009.118
Filename :
5190131
Link To Document :
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