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27th International Conference on Distributed Computing Systems (ICDCS '07)
Optimizing Multicast Performance in Large-Scale WLANs
Toronto, Canada
June 25-June 27
ISBN: 0-7695-2837-3
Ai Chen, Ohio State University
Dongwook Lee, Ohio State University
Prasun Sinha, Ohio State University
Support for efficient multicasting in WLANs can enable new services such as streaming TV channels, radio channels, and visitor's information. With increasing deployments of large-scale WLANs, such services can have a significant impact. However, for a solution to be viable, the mutlicast services must minimally impact the existing unicast services which are currently the core services offered by most WLANs. This paper focuses on three objective functions motivated by different revenue functions and network scenarios: maximizing the number of users (MNU), balancing the load among APs (BLA), and minimizing the load of APs (MLA). We show that these problems are NP-hard and present centralized approximation algorithms and distributed approaches to solve them. Using simulations we evaluate the performance of these algorithms. We observe that the number of users can be increased by up to 36:9%, and the maximum AP load and the total load can be reduced by up to 52:9% and 31:1%, respectively.
Citation:
Ai Chen, Dongwook Lee, Prasun Sinha, "Optimizing Multicast Performance in Large-Scale WLANs," icdcs, pp.17, 27th International Conference on Distributed Computing Systems (ICDCS '07), 2007
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