Prototype Design for Routing Load Balancing Algorithm based on Fuzzy Logic

M. M. Jawad, N. M. Mahdi
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引用次数: 3

Abstract

Network congestion may occur if the network load (the number of packets sent to the network) is greater than the network capacity (the number of packets that the network can handle). When the network becomes congested, performance is fully crumbling, and almost no packets are delivered, in other words, congestion refers to a loss of network performance when the network is heavily loaded. The mechanism that is used to remove congestion by migrating packets from the overloaded nodes to lightly loaded nodes to improve the network performance is called load balancing. In this paper, the load balancing algorithm using fuzzy logic is proposed. The proposed algorithm was simulated utilizing Network Simulator (Version 2). The metrics was utilized capacity and queue size are considered as input for the fuzzy logic and the state of the link was determined as output. The results obtained were compared with the results of the static load balancing algorithm and dynamic load balancing algorithm. The proposed algorithm achieves significant performance improvement with respect to reduce Packets Loss and End to End Delay. Also, the proposed algorithm increases Throughput and Packet Delivery Ratio.
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基于模糊逻辑的路由负载均衡算法原型设计
如果网络负载(发送到网络的数据包数量)大于网络容量(网络可以处理的数据包数量),则可能发生网络拥塞。当网络变得拥塞时,性能完全崩溃,几乎没有数据包发送,换句话说,拥塞是指网络负载过重时网络性能的损失。通过将数据包从负载过重的节点迁移到负载较轻的节点来消除拥塞,从而提高网络性能的机制称为负载均衡。本文提出了一种基于模糊逻辑的负载均衡算法。利用Network Simulator (Version 2)对所提出的算法进行仿真,以所利用的度量、容量和队列大小作为模糊逻辑的输入,并确定链路的状态作为输出。将所得结果与静态负载均衡算法和动态负载均衡算法的结果进行了比较。该算法在减少丢包和端到端时延方面取得了显著的性能提升。此外,该算法还提高了吞吐量和包投递率。
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