A Multi-objective QoS Optimization with Fuzzy Based Parameter Setting for Real-Time Multicasting

Abstract

Multicast services have been used for real-time multimedia applications to transport audio-video frames, among a group of users. During real-time communication the related audio-video frames are required to be delivered at the end nodes in a synchronous manner [1]. Further, the frequent change of service types, session timings with QoS requirements by the group members increases the communication complexity of the network [2,3]. In a wireless medium the situation further deteriorates than fixed network due to unpredictable mobility of the host nodes as well as their variations in resource requirements. It is also important to keep the network live with all possible satisfactions to the users during that period. Such a scenario requires multi-objective optimizations with constraints satisfactions [4,5]. The situation becomes critical when the destination nodes require multi-rate multicast sessions [6]. Hence development of multi-objective optimization algorithm for multi-rate traffic during multicasting is a challenge for efficient allocation of resources in a dynamically changing network [7,8]. However, a Pareto optimal algorithm can provide better results by fulfilling users' requirement, irrespective of irrelevant transformation of parameters [4].