In recent years, in order to make efficient use of spectrum resources, much attention has been given to solving the problem of channel assignment in cognitive radio-based wireless mesh networks (CR-WMNs). Current approaches focus mainly on avoiding interference in order to enhance performance in terms of throughput. WMNs are intended to provide low-cost multimedia communication. Therefore, in order to provide lowcost real-time communication, channel assignment in CR-WMNs should take into consideration not only the issue of throughput, but also energy consumption and delays. In this paper, we first define an optimization problem to maximize the end-to-end throughput per unit of energy consumption while minimizing, as well as guaranteeing, the delay constraint specified for a data stream. Based on this, we then propose a novel distributive heuristic channel assignment approach to solve the optimization problem in a self-organized manner. Finally, we present the simulation results to evaluate the performance of the proposed solution in terms of end-to-end throughput per unit of energy consumption and delays.require that network performance should be optimized not only in terms of throughput, but also in terms of energy consumption (given the fact that the cost of energy continues to rise) and delay, because several broadband services such as video streaming, video conferencing and online gaming are delay sensitive. Moreover, in recent years, a dramatic growth has been witnessed in Internet of Things (IoT). Because it is anticipated that IoT will be carried over multi-hop mesh-type networks with a large number of energy-constrained devices and delay-sensitive applications [6], an energy and delay efficient WMN will be the most suitable choice for IoT applications. Hence, a channel assignment mechanism optimizing performance in terms of throughput and energy consumption while considering the delay constraints for CR-WMNs is highly desired.This paper focuses on the channel assignment problem in multi-hop CR-WMNs with the aim of maximizing the end-to-end throughput per unit of energy consumption while keeping the end-toend delay within the specified limit for each flow. Therefore, we first establish link/hop throughput, energy consumption and delay models based on PU activities. Then, an optimization problem is formulated for channel assignment in CR-WMN with the objective function of maximizing the end-to-end throughput per unit of energy consumption while satisfying the spectrum-sharing constraints among the nodes and the end-to-end constraints for each flow. To solve the problem, a novel distributive heuristic channel assignment (DHCA) is presented, which works in a distributive and self-organized manner, while keeping in view the scalability concerns of CR-WMNs and the simplicity of the solution to be implemented in real time. DHCA works in two steps. The first step is to introduce the concept of delay gradient. The delay gradient is defined as the difference in the accumulative delay incurred by the packets of a fl...
Abstract. This paper proposes a set of novel multicast algorithms for m-D mesh overlay networks that can achieve shorter multicast delay and less resource consumptions. In contrast to previous approaches, our algorithms partition the group members into clusters in the lower layer, seeking an optimal core (root) to guarantee the minimum routing delay for each cluster and building a shared tree within each cluster to minimize the number of links used. In the upper layer, a shared tree is then constructed using our algorithms to implement the inter-cluster routing. The extended simulation results indicate that the application layer multicast that is constructed by our algorithms is efficient in terms of routing delay and link utilizations as compared with other well-known existing multicast solutions.
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