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MO-CSO-based load-balanced routing in MRMC WMN

机译:MRMC WMN中基于MO-CSO的负载均衡路由

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摘要

The multi-radio-multi-channel wireless mesh networks (MRMC WMNs) have attracted much attention due to their low cost, reliable coverage, stable topology, and so forth. Load balancing among gateways (GWs) is a challenging task in MRMC WMNs. The GW nodes with higher loads will lead to disconnected network. GW and shortest path selection may increase traffic concentration which leads to congestion and collision in network. In this study, a multi-objective competitive swarm optimiser (MO-CSO) with analytic hierarchy process-based (AHP) load-balancing technique is proposed among the multiple GW nodes that provide communication between server and user to select the lightly loaded GWs, so that more packets will be delivered to the fixed host in Internet. The proposed method selects four GW parameters that are GW connecting degree, GW capacity indicator, traffic in collision domain, and path cost. The objective functions are minimisation of delay and maximising the channel utilisation, network throughput, and balancing network traffic. The MO-CSO with AHP method is utilised to select the best GW and path which combines all four parameters. Simulation results show that the proposed MO-CSO improves the network performance by maximum throughput while compared with the existing routing strategies such as SBR, ETX, LG, NG, and IR.
机译:多无线电多信道无线网状网络(MRMC WMN)由于其低成本,可靠的覆盖范围,稳定的拓扑结构等而备受关注。在MRMC WMN中,网关(GW)之间的负载平衡是一项艰巨的任务。负载较高的GW节点将导致网络断开。 GW和最短路径选择可能会增加流量集中度,从而导致网络拥塞和冲突。在这项研究中,提出了一种多目标竞争群优化器(MO-CSO),它采用了基于层次分析层次(AHP)的负载均衡技术,可以在多个GW节点之间提供服务器和用户之间的通信,以选择轻负载的GW,这样,更多的数据包将被传递到Internet中的固定主机。所提出的方法选择了四个GW参数,分别是GW连接度,GW容量指标,冲突域流量和路径成本。目标功能是最大程度地减少延迟,并最大程度地提高信道利用率,网络吞吐量和平衡网络流量。利用具有AHP方法的MO-CSO,可以选择结合了所有四个参数的最佳GW和路径。仿真结果表明,与现有的路由策略如SBR,ETX,LG,NG和IR相比,提出的MO-CSO可以通过最大吞吐量提高网络性能。

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