Efficient Resource Utilization for Multi-Flow Wireless Multicasting Transmissions

Tu, Wanqing

doi:10.1109/jsac.2012.120810

Cited by 18 publications

(10 citation statements)

References 18 publications

(26 reference statements)

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“…However, due to the limited available channels, the proposed multicast scheme may not achieve sufficient capacity to carry multi-source multicast over multiple WMN hops. Hence, Tu [2] explored how to efficiently utilize channel capacity. By designing a new channel aggregation scheme and a new flow scheduling scheme in multi-flow multicasting scenarios, extra multicasting opportunities are achieved when WMN channels are considered to be "saturated" in conventional studies.…”

Section: Related Workmentioning

confidence: 99%

“…Major strategies adopted in these studies focus on efficient wireless resource utilization, including the use of channel diversity (e.g., [1,15]) to provide non-interfering transmission capacity, the scheduling of transmission rates (e.g., [3]) or video multicasts (e.g., [2]) to make the most of wireless connection capacity, the collaboration of WMN peer nodes to provide alternative paths to avoid bottlenecks (e.g., [4]), and the exploration of cognitive radio networks to seek extra wireless bandwidth (e.g., [5]). These strategies intelligently create more transmission opportunities.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Source Video Multicast in Internet-Connected Wireless Mesh Networks

Sreenan

Jha

et al. 2017

IEEE Trans. on Mobile Comput.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Source Video Multicast in Internet-Connected Wireless Mesh Networks

Sreenan

Jha

et al. 2017

IEEE Trans. on Mobile Comput.

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“…Several other studied dimensions are: resource utilization maximization [94], user-level fairness and multicast efficiency [95], transmission efficiency [96], cooperative transmission of layered video using randomized distributed space-time code [97], and cross-layer design for reducing bandwidth requirement and increasing robustness to channel errors [98].…”

Section: Eai Endorsed Transactions Onmentioning

confidence: 99%

User-Centric Energy-Efficient Multimedia Multicast/Broadcast Solutions: A Survey

Singhal¹,

De²

2015

ICST Transactions on Ubiquitous Environments

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Multimedia multicast/broadcast transmissions provide simultaneous access to a common service to the heterogeneous user equipments (UEs) with different device and channel characteristics. One of the major challenges to the service providers is the exponential growth of energy-constrained UEs. In this context, the optimization of multimedia multicast/broadcast transmissions that consider the constraints imposed by the UEs is a major concern of the service providers to ensure high Quality of Experience levels to the customers with diverse constraints. This paper presents an overview of the multimedia multicast/broadcast challenges and open issues, identifies the main factors and the associated constraints that impact the multimedia transmission, and provides a comprehensive classification, comparison, and analysis of the state-of-the-art user-centric, energyefficient multimedia multicast/broadcast approaches.

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“…Although the use of multi-radio nodes increases the capacity of a WMN, an efficient channel assignment algorithm is still needed to minimize the interference among the multiple radios of each node [15,16]. A WMN node is able to have multiple radios.…”

Section: Introductionmentioning

confidence: 99%

“…A WMN node is able to have multiple radios. Although the use of multi-radio nodes increases the capacity of a WMN, an efficient channel assignment algorithm is still needed to minimize the interference among the multiple radios of each node [15,16]. The importance of performing efficient channel assignment increases further in CR-WMNs due to the increased number of degrees of freedom in accessing the channels for each node via opportunistic spectrum access.…”

Section: Introductionmentioning

confidence: 99%

On energy‐efficient performance‐guaranteed channel assignment in cognitive radio‐based wireless mesh networks

Hasan

2015

Int J Communication

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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...

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Efficient Resource Utilization for Multi-Flow Wireless Multicasting Transmissions

Cited by 18 publications

References 18 publications

Multi-Source Video Multicast in Internet-Connected Wireless Mesh Networks

Multi-Source Video Multicast in Internet-Connected Wireless Mesh Networks

User-Centric Energy-Efficient Multimedia Multicast/Broadcast Solutions: A Survey

On energy‐efficient performance‐guaranteed channel assignment in cognitive radio‐based wireless mesh networks

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