Resource allocation and admission control algorithm based on non-cooperation game in wireless mesh networks

Shang, Fengjun; Niu, Xinyan; He, Dexiang; Gong, Hanchao; Luo, Xiao-Jun

doi:10.1016/j.comcom.2020.01.009

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…Though the algorithm satisfied the QoS requirements, its complexity was too high. Shang et al 16 investigated the user access channel mechanism in wireless mesh networks and correspondingly proposed an access control algorithm based on network coverage. Simulation results proved that the algorithm was effective.…”

Section: Related Workmentioning

confidence: 99%

Dynamic channel allocation strategy for quality of service enhancement in wireless ad hoc networks

Dai

2022

Concurrency and Computation

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The quality of service (QoS) is a momentous performance index of wireless ad hoc networks. However, unreasonable channel allocation will degrade the QoS. During the process of channel allocation, if user requests for idle channels are rejected, the QoS will lower accordingly. In this paper, we propose a dynamic channel allocation strategy for QoS enhancement to enhance the QoS and reduce the rejection rate of idle channel requests. First of all, the channel availability model is modeled as a Continuous Time Markov Chain in a bid to calculate the channel availability which is used to compute the channel availability factor (CAF) and the channel availability threshold (CAT).Then, the dynamic channel allocation process is achieved based on the comparison result of CAF and CAT. Ultimately, the QoS is guaranteed by exploiting the earliest deadline first algorithm to forward packets and enhanced by using the packet segmentation algorithm to divide packets into packet flows. The simulation results prove that the proposed channel allocation strategy increases the packet delivery ratio and throughput, decreases the end-to-end delay and total overhead and shows a QoS enhancement than existing schemes. K E Y W O R D Schannel allocation strategy, channel availability, QoS, wireless ad hoc network INTRODUCTIONWireless ad hoc network is composed of mobile nodes communicating with each other via wireless links without central node and fixed infrastructure support. It has a broad application prospect in the field of military communication and disaster relief due to the merits of data forwarding through relay node and self-healing function. Multi-interface multichannel wireless ad hoc network allows mobile nodes to share multiple common channels. Therefore, mobile nodes can send and receive the packets at the same time which can reduce the delay and improve the throughput. The quality of service (QoS) parameters include the packet delivery ratio, throughput, end-to-end delay, and total overhead. 1 QoS enhancement means the increase of packet delivery ratio and throughput and the decrease of end-to-end delay, and total overhead. However, irrational allocation of shared channels brings about request rejection, routing failure, and other problems, which will increase the end-to-end delay and total overhead and reduce the QoS. Therefore, how to design a sound dynamic channel allocation strategy and enhance QoS have drawn extensive notices.Channel allocation depends on the number of accessible frequency channels and the time slot of the available channel. In the existing literature, researchers have put forward different channel allocation strategies. Karaoglu and Heinzelman 2 made a research on the on-demand dynamic channel allocation mechanism suitable for nonuniform load in mobile ad hoc networks (MANETs) and creatively proposed a lightweight dynamic channel allocation mechanism (LDCAM) and a cooperative load balancing strategy. The interference level was proposed as the basis for channel allocation

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Section: Related Workmentioning

confidence: 99%

Dynamic channel allocation strategy for quality of service enhancement in wireless ad hoc networks

Dai

2022

Concurrency and Computation

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“…With 5G technology advancement, the heterogeneous network for the effective operation of the channel is in the same condition. The dynamic resource allocation exhibits a significant solution for the integrated cognitive radio environment with the conventional radio access network [4]. Hence, in the field of wireless communication important paradigm for effective allocation of the resources in the Cognitive radio environment.…”

Section: Introductionmentioning

confidence: 99%

Optimization-based spectrum sensing in crn for effective utilization of available channel

Goura

Vijayalakshmi

2022

ijhs

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Cognitive radio networks (CRN) are subjected to the challenge of demand in available resources, limited fair resource allocation between users in the heterogeneous CRN. The availability of minimal resources affects the channel allocation between Primary Users (PUs) and Secondary Users (SUs). In heterogeneous CRNs, efficient resources are available to SUs with fair resource allocation in a multi-hop environment. This paper proposed an efficient resource allocation in multi-hop CRN through Monte-Carlo Normal Form (MCNF). The proposed MCNF is involved in the optimization of the available resources through the estimation of the objective function. With Monte-Carlo estimation, MCNF computes the optimal resource availability within the CRN. Based on the Normal Form game theory resource availability of the network is computed and allocated between the users. The performance of the proposed MCNF is computed in terms of throughput, PDR, and running time. The proposed MCNF is comparatively examined with conventional game theory and the Monte-Carlo technique. The simulation analysis of the proposed MCNF expressed that running time is reduced with increased Packet delivery rate (PDR) and throughput.

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A new selfish thing detection method based on Voronoi diagram for Internet of Things

Razzaghi

Babaie

2022

J Supercomput

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Resource allocation and admission control algorithm based on non-cooperation game in wireless mesh networks

Cited by 4 publications

References 25 publications

Dynamic channel allocation strategy for quality of service enhancement in wireless ad hoc networks

Dynamic channel allocation strategy for quality of service enhancement in wireless ad hoc networks

Optimization-based spectrum sensing in crn for effective utilization of available channel

A new selfish thing detection method based on Voronoi diagram for Internet of Things

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