Capacity of Ad Hoc wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Introduction to Linear Optimization
Introduction to Linear Optimization
Proceedings of the 11th annual international conference on Mobile computing and networking
Weighted coloring based channel assignment for WLANs
ACM SIGMOBILE Mobile Computing and Communications Review
On achieving maximum multicast throughput in undirected networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
IEEE Transactions on Wireless Communications
Efficient Multicast Algorithms for Multichannel Wireless Mesh Networks
IEEE Transactions on Parallel and Distributed Systems
Joint access point placement and channel assignment for 802.11 wireless LANs
IEEE Transactions on Wireless Communications
Enhanced QoS Multicast Routing in Wireless Mesh Networks
IEEE Transactions on Wireless Communications
A survey on wireless mesh networks
IEEE Communications Magazine
Multicast Routing in Wireless Mesh Networks: Minimum Cost Trees or Shortest Path Trees?
IEEE Communications Magazine
A Cross-Layer Optimization Framework for Multihop Multicast in Wireless Mesh Networks
IEEE Journal on Selected Areas in Communications
Journal of Network and Computer Applications
Multicast Multi-hop Routing for Wireless Mesh Networks
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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We study high-throughput multicast solutions for wireless mesh networks (WMN). Two techniques in WMN design are considered for combating wireless bandwidth limitations and wireless interference, respectively: introducing multiple mesh gateways and exploiting the diversity of wireless channels. We target a cross-layer solution that jointly (a) selects appropriate channels for each mesh node to use, at judiciously tuned power, and (b) computes the optimal multicast flows associated with the channel assignment. Our solution is obtained by first formulating the WMN multicast problem into a mathematical program, and then designing an iterative primal-dual optimization framework for it based on Lagrange relaxation and primal problem decomposition. Solution algorithms for the decomposed sub-problems are designed to complete the solution. In particular, a progressive channel assignment heuristic is introduced at the MAC/PHY layer. Through extensive simulations, we demonstrate the effectiveness of the proposed solution framework and the sub-problem heuristics. In particular, a throughput improvement of up to 100% is observed when compared to straightforward approaches of utilizing multiple wireless channels for mutlicast routing.