Dynamic agent-based hierarchical multicast for wireless mesh networks |
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Authors: | Yinan Li Ing-Ray Chen |
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Affiliation: | 1. Department of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, J&K, India;2. Department of Computer Science Engineering, Shri Mata Vaishno Devi University, J&K, India;1. Department of Electronics & Communication Engineering, MNNIT, Allahabad 211004, India;2. Ideal Institute of Technology, Ghaziabad, India;3. Department of Electrical & Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L3G1;4. Department of Computer Science Sonepur College, Sonepur - 767017, Odisha, India;5. Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Saudi Arabia;6. Computer Science and Engineering Department, Qatar University, Doha, Qatar;7. Department of Information systems, Faculty of Computers and Information Sciences, Ain Shams University, Cairo, Egypt;1. Department of Computer Science, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea;2. Department of Computer Science, Kyonggi University, Suwon 443-760, Republic of Korea |
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Abstract: | We propose and analyze a multicast algorithm named Dynamic Agent-based Hierarchical Multicast (DAHM) for wireless mesh networks that supports user mobility and dynamic group membership. The objective of DAHM is to minimize the overall network cost incurred. DAHM dynamically selects multicast routers serving as multicast agents for integrated mobility and multicast service management, effectively combining backbone multicast routing and local unicast routing into an integrated algorithm. As the name suggests, DAHM employs a two-level hierarchical multicast structure. At the upper level is a backbone multicast tree consisting of mesh routers with multicast agents being the leaves. At the lower level, each multicast agent services those multicast group members within its service region. A multicast group member changes its multicast agent when it moves out of the service region of the current multicast agent. The optimal service region size of a multicast agent is a critical system parameter. We propose a model-based approach to dynamically determine the optimal service region size that achieves network cost minimization. Through a comparative performance study, we show that DAHM significantly outperforms two existing baseline multicast algorithms based on multicast tree structures with dynamic updates upon member movement and group membership changes. |
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Keywords: | Hierarchical multicast algorithm Multicast agent Wireless mesh networks Performance analysis |
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