Resource-aware Video Multicasting via Access Gateways in Wireless Mesh Networks

Abstract—This paper studies video multicasting in large scale areas using wireless mesh networks. The focus is on the use of Internet access gateways that allow a choice of alternative routes to avoid potentially lengthy multi-hop wireless paths with low capacity. A set of heuristic-based algorithms are described that together aim to maximize network capacity: the two-tier integrated architecture algorithm, the weighted gateway uploading algorithm, the link-controlled routing tree algorithm, and the alternative channel assignment algorithm. These algorithms use different approaches to arrange multicast group members into a clustered and two-tier integrated architecture in which network protocols can make use of multiple gateways to improve system throughput. Simulation results are used to determine the performance of the different approaches. I

Resource-aware Video Multicasting via Access Gateways in Wireless Mesh Networks

This paper studies video multicasting in large scale areas using wireless mesh networks. The focus is on the use of Internet access gateways that allow a choice of alternative routes to avoid potentially lengthy multi-hop wireless paths with low capacity. A set of heuristic-based algorithms are described that together aim to maximize network capacity: the two-tier integrated architecture algorithm, the weighted gateway uploading algorithm, the link-controlled routing tree algorithm, and the alternative channel assignment algorithm. These algorithms use different approaches to arrange multicast group members into a clustered and two-tier integrated architecture in which network protocols can make use of multiple gateways to improve system throughput. Simulation results are used to determine the performance of the different approaches

Resource-aware Video Multicasting via Access Gateways in Wireless Mesh Networks

This paper studies video multicasting in large-scale areas using wireless mesh networks. The focus is on the use of Internet access gateways that allow a choice of alternative routes to avoid potentially lengthy and low-capacity multihop wireless paths. A set of heuristic-based algorithms is described that together aim to maximize reliable network capacity: the two-tier integrated architecture algorithm, the weighted gateway uploading algorithm, the link-controlled routing tree algorithm, and the dynamic group management algorithm. These algorithms use different approaches to arrange nodes involved in video multicasting into a clustered and two-tier integrated architecture in which network protocols can make use of multiple gateways to improve system throughput. Simulation results are presented, showing that our multicasting algorithms can achieve up to 40 percent more throughput than other related published approaches

Worst-Case Delay Control in Multi-Group Overlay Networks

This paper proposes a novel and simple adaptive control algorithm for the effective delay control and resource utilization of EMcast when the traffic load becomes heavy in the multi-group network with real-time flows constrained by the (σ, ρ) regulators. The control algorithm is implemented at the overlay networks, and provides more regulations through a novel (σ, ρ, λ) regulator at each group end host who suffers from heavy input traffic. To our knowledge, it is the first work to incorporate the traffic regulator into the end host multicast to control the heavy traffic output. Our further contributions include a set of theoretical analysis and results. We prove the existence and calculate the value of rate threshold ρ ∗ such that for a given set of K groups, when the average rate of traffic entering the group end hosts ¯ρ>ρ ∗ , the ratio of worst-case multicast delay bound of (σ, ρ, λ) regulator over traditional (σ, ρ) regulator is O ( 1 Kn) for any integer n. We also use the computer simulations to evaluate our novel algorithm and regulator that have been proved efficient in decreasing the worst-case delays