A cross-layer optimization framework for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks

DOI10.1080/00207160.2016.1227431zbMath1409.68033OpenAlexW2517874998MaRDI QIDQ4976345

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Publication date: 28 July 2017

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160.2016.1227431

zbMATH Keywords

channel assignmentmulticast routingmulti-channelwireless mesh networkmulti-radioprimal decomposition

Mathematics Subject Classification ID

Network design and communication in computer systems (68M10) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Related Items (5)

Link prediction based on temporal similarity metrics using continuous action set learning automata ⋮ Load-aware multicast routing in multi-radio wireless mesh networks using FCA-CMAC neural network ⋮ A cross-layer learning automata based gateway selection method in multi-radio multi-channel wireless mesh networks ⋮ Multicast routing protocols in wireless mesh networks: a survey ⋮ Cellular Automata, Learning Automata, and Cellular Learning Automata for Optimization

Uses Software

• AIMMS

Cites Work

• Multicast routing protocols in wireless mesh networks: a survey
• Clustering the wireless ad hoc networks: a distributed learning automata approach
• A topology control approach for utilizing multiple channels in multi-radio wireless mesh networks
• Asynchronous cellular learning automata
• UBMR-CA: utility-based multicast routing and channel assignment with varying traffic demands in multi-radio multi-channel wireless mesh networks
• CELLULAR LEARNING AUTOMATA BASED DYNAMIC CHANNEL ASSIGNMENT ALGORITHMS
• Network information flow
• The capacity of wireless networks
• A MATHEMATICAL FRAMEWORK FOR CELLULAR LEARNING AUTOMATA
• Sharing the cost of multicast transmissions

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