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Channel allocation algorithms for WLANs using distributed optimization

delete2012-06-01
delete5
PRE
AI
T
Tânia Lucia Monteiro
M
Marcelo Eduardo Pellenz *
F
Fabrício Enembreck
R
Richard Demo Souza
G
Guy Pujolle
DOI:10.1016/j.aeue.2011.10.012delete
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Abstract

Abstract

En 中文
The performance of a wireless local area network (WLAN) depends on the channel assignments among interfering access points (APs). Due to the limited number of non-overlapping channels, severe interference scenarios may arise if no appropriated spectrum planning is employed. In our study we focus on WLANs scenarios where APs may belong to different administrative domains, which is actually a very common situation in dense urban deployments. In such cases the use of centralized algorithms is not feasible and the already proposed distributed methods does not guarantee optimal channel assignment. In this paper, therefore, we formalize the channel allocation as a distributed constraint optimization problem (DCOP) and propose a new distributed channel assignment algorithm named DCAA-O, which can find the optimal solution to the channel assignment problem for a group of APs. A suboptimal strategy denoted DCAA-S is also investigated, which aims at reducing the number of control messages to be exchanged between APs, while still achieving a suboptimal solution which is very close to the optimal one. The simulation results show that the proposed algorithms are able to outperform the best known techniques both in terms of solution quality and number of exchanged messages. (C) 2011 Elsevier GmbH. All rights reserved.
Keywords:
Wireless networks
Channel assignment
Distributed constraint optimization
ADOPT

Journal

A
AEU-International Journal of Electronics and Communications
IF:
3.2
Papers:
5.6K
Citations:
8.3K

Organization

P
pontificia universidade catolica do parana
Scholars:
3.0K
Papers: 1.9K
Citations: 1
U
universidade tecnologica federal do parana
Scholars:
4.9K
Papers: 3.4K
Citations: 1
S
Sorbonne Universite
Scholars:
6.2W
Papers: 4.5W
Citations: 605
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