Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Reconsidering wireless systems with multiple radios
ACM SIGCOMM Computer Communication Review
Joint Throughput Optimization for Wireless Mesh Networks
IEEE Transactions on Mobile Computing
Congestion-aware channel assignment for multi-channel wireless mesh networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A joint centralized scheduling and channel assignment scheme in WiMax mesh networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Cross-Layer Design for Multi-power, Multi-interface Routing in Wireless Mesh Networks
MESH '09 Proceedings of the 2009 Second International Conference on Advances in Mesh Networks
Networks - Network Optimization (INOC 2007)
Cross-Layer Fair Bandwidth Sharing for Multi-Channel Wireless Mesh Networks
IEEE Transactions on Wireless Communications
Joint medium access control, routing and energy distribution in multi-hop wireless networks
IEEE Transactions on Wireless Communications - Part 2
The capacity of wireless networks
IEEE Transactions on Information Theory
Optimization architecture for joint multi-path routing and scheduling in wireless mesh networks
Mathematical and Computer Modelling: An International Journal
IEEE Journal on Selected Areas in Communications
Hi-index | 0.24 |
In this paper, to increase end-to-end throughput and energy efficiency of the multi-channel wireless multihop networks, a framework of jointly optimize congestion control in the transport layer, channel allocation in the data link layer and power control in the physical layer is proposed. It models the network by a generalized network utility maximization (NUM) problem with elastic link data rate constraints. Through binary linearization and log-transformation, and after relaxing the binary constraints on channel allocation matrix, the NUM problem becomes a convex optimization problem, which can be solved by the gateway centralized through branch and bound algorithm with exponential time complexity. Then, a partially distributed near-optimal jointly congestion control, channel allocation and power control (DCCCAPC) algorithm based on Lagrangian dual decomposition technique is proposed. Performance is assessed through simulations in terms of network utility, energy efficiency and fairness index. Convergence of both centralized and distributed algorithms is proved through theoretic analysis and simulations. As the available network resources increase, the performance gain on network utility increases.