On-demand multicast routing protocol with efficient route discovery |
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| Affiliation: | 1. Faculty of Science and Technology, Sharif University of Technology—International Campus, Iran;2. School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran;3. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran;4. Centre for Distributed and High Performance Computing, School of Information Technologies, The University of Sydney, Sydney, Australia;1. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, PR China;2. Research Institute of Xi’an Jiaotong University, Zhejiang 311215, PR China;3. Department of Information Science, Xi’an University of Technology, Xi’an 710048, PR China;4. National Key Laboratory of Science and Technology on Space Microwave, CAST, Xi’an, PR China;1. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China;2. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China;3. Guilin University of Electronic Technology, Guilin, China;4. School of Engineering, University of Glasgow, Glasgow, UK |
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| Abstract: | In this paper, we introduce an efficient route discovery mechanism to enhance the performance and multicast efficiency of On-Demand Multicast Routing Protocol (ODMRP). Our framework, called limited flooding ODMRP, improves multicasting mechanism by efficiently managing flooding mechanism based on delay characteristics of the contributing nodes. In our model, only the nodes that satisfy the delay requirements can flood the Join-Query messages. We model the contributing nodes as M/M/1 queuing systems. Our framework considers the significant parameters in delay analysis, including random packet arrival, service process, and random channel access in the relying nodes, and exhibits its best performance results under high traffic load. Simulation results reveal that limited flooding ODMRP drastically reduces the packet overhead under various simulation scenarios as compared to original ODMRP. |
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