DocumentCode :
2947707
Title :
DLDCA: A distributed link-weighted and distance-constrained channel assignment for single-radio multi-channel wireless mesh networks
Author :
Jin, Junfeng ; Zhao, Baohua ; Zhou, Hao
Author_Institution :
Sch. of Comput. Sci., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2009
fDate :
13-15 Nov. 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this work, we consider a distributed link-weighted and distance-constrained channel assignment (DLDCA) algorithm for a multi-channel multi-hop mesh network, such as community wireless networks, to maximize its throughput. Efficient channel assignment could greatly reduce interference of each link from its neighboring links and subsequently improve the network throughput. In response to it, we introduce an interference metric, namely, Min-Max I-value of an edge (MMIE), to explicitly accounts for interference among links that are at distance one. In addition, we further show that the above problem with respect to MMIE is NP-hard in computation. This guides us to develop a new distributed channel assignment algorithm called DLDCA algorithm. We study the DLDCA performance by implementing it in a wireless simulation environment. The simulation results show that in a multi-channel multi-hop network, DLDCA significantly outperforms previously proposed channel assignment schemes.
Keywords :
channel allocation; minimax techniques; radio networks; radiofrequency interference; DLDCA; MMIE; community wireless networks; distance-constrained channel assignment; distributed link-weighted channel assignment; interference metric; min-max I-value of an edge; neighboring links; network throughput; wireless mesh networks; Bandwidth; Computational modeling; Computer networks; Distributed computing; Interference; Laboratories; Mesh networks; Spread spectrum communication; Throughput; Wireless mesh networks; Distributed Channel Assignment; Minimal Interference; Multi-Channel; Wireless Mesh Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4856-2
Electronic_ISBN :
978-1-4244-5668-0
Type :
conf
DOI :
10.1109/WCSP.2009.5371390
Filename :
5371390
Link To Document :
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