i-QCA: An intelligent framework for quality of service multicast routing in multichannel multiradio wireless mesh networks

Chakraborty, Debasis

doi:10.1016/j.adhoc.2015.05.007

Cited by 21 publications

(24 citation statements)

References 37 publications

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“…In [43], the authors proposed an I-QCA algorithm to overcome such problem by solving both the multicast routing and channel allocation conjointly based on genetic algorithm. The aim of the scheme is to find a multicast tree with minimum bound interference and the lowest multicast tree.…”

Section: • Distributed Polynomial-time Priority-aware Channel Assignmentmentioning

confidence: 99%

“…For the second category, both channel assignment and multicast routing are solved jointly. Most of jointly approaches utilized the evolutionary optimization methods such as tabu-search [52,77], simulated anneal [77] and genetic algorithm [43,74,77]. Their solutions depend on the initial solution and fitness function which is used to compute channel-allocation multicast tree.…”

Section: • Summary Of Joint Multicast Routing With Channel Assignmentmentioning

confidence: 99%

“…Thus, a channel with minimum total interference and satisfies the node delay constraint for the received request will be selected as a recommended channel. In [43], path end-to-end delay is proposed for channel selection. This metric can avoid the interference and collision by choosing a long path that satisfies the delay bound tree.…”

Section: • Qos-awarementioning

confidence: 99%

See 2 more Smart Citations

Review of channel assignment approaches in multi-radio multi-channel wireless mesh network

Mogaibel

Othman

Subramaniam

et al. 2016

Journal of Network and Computer Applications

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Section: • Distributed Polynomial-time Priority-aware Channel Assignmentmentioning

confidence: 99%

Section: • Summary Of Joint Multicast Routing With Channel Assignmentmentioning

confidence: 99%

See 1 more Smart Citation

Review of channel assignment approaches in multi-radio multi-channel wireless mesh network

Mogaibel

Othman

Subramaniam

et al. 2016

Journal of Network and Computer Applications

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“…More recently, various intelligent computational methods‐based (genetic algorithms, simulated annealing, Tabu search, and particle swarm optimization) QoS multicast routing algorithms have been proposed to find optimal solutions for minimum cost multicast routing problem with more than one constraints …”

Section: Related Workmentioning

confidence: 99%

“…More recently, various intelligent computational methods-based (genetic algorithms, simulated annealing, Tabu search, and particle swarm optimization) QoS multicast routing algorithms have been proposed to find optimal solutions for minimum cost multicast routing problem with more than one constraints. [20][21][22][23][24][25] Another way of classifying multicast routing protocols is whether they are source based or center based. Sourcebased routing protocols either construct SPT rooted at the sender such that the unique path from the sender to a terminal node is the shortest path or build an approximate Steiner tree.…”

Section: Related Workmentioning

confidence: 99%

A resource‐tuned QoS multicast routing protocol

Sheikh

2018

Int J Communication

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Summary This paper presents a novel framework for quality‐of‐service (QoS) multicast routing with resource allocation that represents QoS parameters, jitter delay, and reliability, as functions of adjustable network resources, bandwidth, and buffer, rather than static metrics. The particular functional form of QoS parameters depends on rate‐based service disciplines used in the routers. This allows intelligent tuning of QoS parameters as functions of allocated resources during the multicast tree search process, rather than decoupling the tree search from resource allocation. The proposed framework minimizes the network resource utilization while keeping jitter delay, reliability, and bandwidth bounded. This definition makes the proposed QoS multicast routing with resource allocation problem more general than the classical minimum Steiner tree problem. As an application of our general framework, we formulate the QoS multicast routing with resource allocation problem for a network consisting of generalized processor sharing nodes as a mixed‐integer quadratic program and find the optimal multicast tree with allocated resources to satisfy the QoS constraints. We then present a polynomial‐time greedy heuristic for the QoS multicast routing with resource allocation problem and compare its performance with the optimal solution of the mixed‐integer quadratic program. The simulation results reveal that the proposed heuristic finds near‐optimal QoS multicast trees along with important insights into the interdependency of QoS parameters and resources.

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A survey of cross‐layer protocols for IEEE 802.11 wireless multi‐hop mesh networks

Sheikh

Wolhuter

Engelbrecht

2016

Int J Communication

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There has been an escalation in deployment and research of wireless mesh networks by both the business community and academia in the last few years. Their attractive characteristics include low deployment cost, a low-cost option to extend network coverage and ease of maintenance due to their self-healing properties. Multiple routes exist between the sender and receiver nodes because of the mesh layout that ensures network connectivity even when node or link failures occur. Recent advances among others include routing metrics, optimum routing, security, scheduling, cross-layer designs and physical layer techniques. However, there are still challenges in wireless mesh networks as discussed in this paper that need to be addressed. Crosslayer design allows information from adjacent and non-adjacent layers to be used at a particular layer for performance improvement. This paper presents a survey of cross-layer protocol design approaches applied to the IEEE 802.11 standards for wireless multi-hop mesh networks that have been proposed over the last few years for improved performance. We summarize the current research efforts in cross-layer protocol design using the IEEE 802.11 standard in identifying unsolved issues that are a promising avenue to further research.Section 3 presents some WMN protocol and design challenges that arise because of the architecture of WMNs. Section 4 gives a brief overview of CLD principles and presents the different cross-layer signalling architectures found in research to utilize information from different layers. The signalling architectures show that information can be used directly by non-adjacent or adjacent layers; by the use of a central database or server and any layer can use information from it; by interlayer signalling where the information passes through all layers and any layer can use it; and finally, by the use of information from a layer at a different node.Section 5 presents the survey on the application of CLD to WMNs to address some of the challenges in WMNs. The proposed cross-layer solutions are classified according to the cross-layer signalling architectures presented in Section 4. Many solutions are classified as using the networkwide cross-layer signalling architecture that includes among others routing metrics and soft computing techniques used in multi-path routing. Table III presents an individual summary of these articles. The table also presents the essence of the individual techniques. Table IV presents a comparison between the different approaches in terms of the modifications made to the layer architecture by these different cross-layer applications.The majority of the applications of CLD have been in the area of routing. In Section 6, we further assess the suitability of the proposed cross-layer protocols for use in three proposed use case scenarios. The comparisons, classifications and suitability by analysing the cross-layer protocol designing approaches are solely the views of the authors in this survey paper.Section 7 presents some future research directi...

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i-QCA: An intelligent framework for quality of service multicast routing in multichannel multiradio wireless mesh networks

Cited by 21 publications

References 37 publications

Review of channel assignment approaches in multi-radio multi-channel wireless mesh network

Review of channel assignment approaches in multi-radio multi-channel wireless mesh network

A resource‐tuned QoS multicast routing protocol

A survey of cross‐layer protocols for IEEE 802.11 wireless multi‐hop mesh networks

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