In this paper, we make use of a fuzzy approach to determine a soft Admission Control mechanism for Voice-over-Internet-Protocol services over Wireless Local Area Network. In such a system, complicated interactions between service provider and clients take place, since the network capacity constraints must be matched with users' preferences and needs. Most of the difficulties in dealing with these interactions stem from the fact that it is very difficult to define both the load condition of the network and the users' requirements in a crisp manner. To this end, we define a framework in which the provider expresses the network status and the clients describe their preferences by means of an approach based on Fuzzy Set Theory. In this way, we are able to develop an Admission Control strategy, based on Similarity Evaluation techniques, that enforces the soft constraints expressed by the two parties. The obtained framework is numerically evaluated, showing the benefit of employing Fuzzy Set Theory with respect to the traditional crisp approach.

Fuzzy Admission Control with Similarity Evaluation for VoWLAN with QoS Support

BACCIU, DAVIDE;
2008-01-01

Abstract

In this paper, we make use of a fuzzy approach to determine a soft Admission Control mechanism for Voice-over-Internet-Protocol services over Wireless Local Area Network. In such a system, complicated interactions between service provider and clients take place, since the network capacity constraints must be matched with users' preferences and needs. Most of the difficulties in dealing with these interactions stem from the fact that it is very difficult to define both the load condition of the network and the users' requirements in a crisp manner. To this end, we define a framework in which the provider expresses the network status and the clients describe their preferences by means of an approach based on Fuzzy Set Theory. In this way, we are able to develop an Admission Control strategy, based on Similarity Evaluation techniques, that enforces the soft constraints expressed by the two parties. The obtained framework is numerically evaluated, showing the benefit of employing Fuzzy Set Theory with respect to the traditional crisp approach.
2008
9781424419586
9781424419593
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/466669
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