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AN EFFICIENT ANT COLONIES ALGORITHM: QOS-BASED LOADBALANCING FOR ROUTING IN WIRELESS MESH NETWORKS

机译:一种有效的蚁群算法:基于QOS的无线网状网络中的路由负载均衡

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摘要

In this paper, a new method is proposed for loadrnbalancing in Wireless Mesh Networks (WMNs). WMNsrnthat consist of static wireless routers, some of which,rncalled gateways, are directly connected to the wiredrninfrastructure. This policy is based on Ant-Net methodrnwith movable factors having operation similar to ant. Thernmain point considered in this proposed method isrncapability of breeding of ants. This capability isrncontinuation of route that is produced by the parent ants.rnBy this capability, the target is to find an optimized routernby creating a number of generations. In addition, it usesrnvarious generations, in a type of genetic algorithm to findrnoptimized route. This can provide the required route withrnspecial goals. This method is able to prevent some of therndifficulties which have not been seen in the colonyrnalgorithms of ants. The results show that, this newrnproposed method shows better operation in comparison tornAnt-Net and other related methods. Also it canrnsignificantly increase the throughput and reduce the raternof delay in the network.
机译:本文提出了一种新的无线网状网(WMN)负载均衡方法。由静态无线路由器组成的WMN,其中一些称为网关,直接连接到有线基础结构。该策略基于Ant-Net方法,其可移动因子的操作类似于ant。该方法考虑的重点是蚂蚁育种的能力。此功能是由父代蚂蚁产生的路由的延续。通过此功能,目标是通过创建多个世代来找到优化的路由器。另外,它在遗传算法的一种类型中使用不同的世代来寻找优化的路线。这可以提供具有特殊目标的所需路线。这种方法能够防止一些在蚂蚁的结肠神经算法中未发现的困难。结果表明,与rnAnt-Net和其他相关方法相比,该新方法具有更好的操作性。同样,它可以显着提高吞吐量并减少网络中的速率延迟。

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