Description
Title: HYBRID BACTERIA FORAGING/PARTICLE SWARM PTIMIZATION IMPROVED MULTICAST ROUTING FOR MULTI-CONSTRAINED MULTICASTERS
Abstract: Multi-constrained multicasting is necessary for many network applications, including IPTV, news distribution, online chatting, video conferencing, and online gaming. It is necessary to produce a multicast tree structure that extends from a source to the destinations with a minimum cost and is subject to a number of constraints in order to solve multicast routing under multiple constraints. In order to increase convergence speed and prevent premature convergence when using PSO to address the QoS multicast routing issue, BFO has been embedded into PSO in this study. This algorithm creates a set of delay-compelled links to each destination included in a multicast group. The bacteria foraging algorithm (BFA) then builds a multicast tree by selecting the sensible paths to all destinations from the set of least delay paths. We have dynamically tuned the parameters of PSO to meet the global search and BFO, which uses the global search technique of PSO to minimize the delay to generate an optimal solution, in order to maintain a fair balance between the intensification and diversification of the algorithm being proposed. Through simulation, the proposed algorithm’s robustness had been determined. A comparison study with other meta-heuristic algorithms in use confirmed the efficacy and effectiveness of the proposed algorithm. This demonstrates that our suggested IBF/PSO algorithm performs better than its rival algorithms.
Keywords: QoS routing, multicasting, particle swarm optimization, bacteria foraging optimization
Paper Quality: SCOPUS / Web of Science Level Research Paper
Paper type: Analysis Based Research Paper
Subject: Computer Science
Writer Experience: 20+ Years
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