Distributed Channel Assignment Algorithm Based on Traffic Awareness in Wireless Mesh Networks

Kim, Jae-Wan; Kim, Sang-Tae; Joo, Yang-Ick

doi:10.1007/s11277-017-4142-2

Cited by 5 publications

(6 citation statements)

References 7 publications

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“…When a node receives a channel request from its neighbor node, it will use formula (5) to calculate the CA and then use formula (6) and formula (7) to calculate the CAF and CAT. If the CAF is greater than CAT, the idle channel is allocated and the confirmation information is sent back to the node by reply packet.…”

Section: Dynamic Channel Allocation Strategy For Qos Enhancementmentioning

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: Dynamic Channel Allocation Strategy For Qos Enhancementmentioning

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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“…In [14] authors proposed Traffic-aware Channel Assignment algorithm that obtains the traffic information of the network nodes and assigns an efficient channel. Based on mathematically model and realtime experiments the effectiveness of the proposed algorithm has been measured and it is found that the proposed algorithm has better network throughput as compared to existing schemes.…”

Section: Related Workmentioning

confidence: 99%

Performance evaluation of interference aware topology power and flow control channel assignment algorithm

Saini¹,

Sohi²

2020

IJECE

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Multi-Radio Multi-Channel Wireless Mesh Network (MRMC-WMN) has been considered as one of the key technology for the enhancement of network performance. It is used in a number of real-time applications such as disaster management system, transportation system and health care system. MRMC-WMN is a multi-hop network and allows simultaneous data transfer by using multiple radio interfaces. All the radio interfaces are typically assigned with different channels to reduce the effect of co-channel interference. In MRMC-WMN, when two nodes transmit at the same channel in the range of each other, generates co-channel interference and degrades the network throughput. Co-channel interference badly affects the capacity of each link that reduces the overall network performance. Thus, the important task of channel assignment algorithm is to reduce the co-channel interference and enhance the network performance. In this paper, the problem of channel assignment has been addressed for MRMC-WMN. We have proposed an Interference Aware, Topology, Power and Flow Control (ITPFC) Channel Assignment algorithm for MRMC-WMN. This algorithm assignes the suitable channels to nodes, which provides better link capacity and reduces the co-channel interference. In the previous work performance of the proposed algorithm has been evaluated for a network of 30 nodes. The aim of this paper is to further evaluate the performance of proposed channel assignment algorithm for 40 and 50 nodes network. The results obtained from these networks show the consistent performance in terms of throughput, delay, packet loss and number of channels used per node as compared to LACA, FCPRA and IATC Channel Assignment algorithms.

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“…The SDN control plane would only be responsible for the forwarding rule installation in the data plane. An example of such an approach is used in [19], which uses a distributed channel assignment approach. Its drawback, however, is that typically the routing impacts the traffic demands for a given channel, which impacts the channel assignment.…”

Section: Software-defined Networking For Wireless Network Managementmentioning

confidence: 99%

mmWave Backhaul Testbed Configurability Using Software-Defined Networking

Santos

Koslowski

Daube

et al. 2019

Wireless Communications and Mobile Computing

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Future mobile data traffic predictions expect a significant increase in user data traffic, requiring new forms of mobile network infrastructures. Fifth generation (5G) communication standards propose the densification of small cell access base stations (BSs) in order to provide multigigabit and low latency connectivity. This densification requires a high capacity backhaul network. Using optical links to connect all the small cells is economically not feasible for large scale radio access networks where multiple BSs are deployed. A wireless backhaul formed by a mesh of millimeter-wave (mmWave) links is an attractive mobile backhaul solution, as flexible wireless (multihop) paths can be formed to interconnect all the access BSs. Moreover, a wireless backhaul allows the dynamic reconfiguration of the backhaul topology to match varying traffic demands or adaptively power on/off small cells for green backhaul operation. However, conducting and precisely controlling reconfiguration experiments over real mmWave multihop networks is a challenging task. In this paper, we develop a Software-Defined Networking (SDN) based approach to enable such a dynamic backhaul reconfiguration and use real-world mmWave equipment to setup a SDN-enabled mmWave testbed to conduct various reconfiguration experiments. In our approach, the SDN control plane is not only responsible for configuring the forwarding plane but also for the link configuration, antenna alignment, and adaptive mesh node power on/off operations. We implement the SDN-based reconfiguration operations in a testbed with four nodes, each equipped with multiple mmWave interfaces that can be mechanically steered to connect to different neighbors. We evaluate the impact of various reconfiguration operations on existing user traffic using a set of extensive testbed measurements. Moreover, we measure the impact of the channel assignment on existing traffic, showing that a setup with an optimal channel assignment between the mesh links can result in a 44% throughput increase, when compared to a suboptimal configuration.

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Distributed Channel Assignment Algorithm Based on Traffic Awareness in Wireless Mesh Networks

Cited by 5 publications

References 7 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

Performance evaluation of interference aware topology power and flow control channel assignment algorithm

mmWave Backhaul Testbed Configurability Using Software-Defined Networking

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