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首页> 外文期刊>International Journal of Computer Network and Information Security >A Genetic Algorithm Inspired Load Balancing Protocol for Congestion Control in Wireless Sensor Networks using Trust Based Routing Framework (GACCTR)
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A Genetic Algorithm Inspired Load Balancing Protocol for Congestion Control in Wireless Sensor Networks using Trust Based Routing Framework (GACCTR)

机译：使用基于信任的路由框架（GACCTR）的遗传算法启发的无线传感器网络中拥塞控制的负载平衡协议

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Wireless Sensors Networks are extremely densely populated and have to handle large bursts of data during emergency or high activity periods giving rise to congestion which may disrupt normal operation. Our paper proposes a new congestion control protocol for balanced distribution of traffic among the different paths existing between the Source node and the Sink node in accordance to the different route trust values. This probabilistic method of data transmission through the various alternate routes can be appropriately modeled with the help of Genetic Algorithms. Our protocol is mainly targeted in selecting the reliable or trustworthy routes more frequently than the unreliable ones. In addition, it also prevents concentration of the entire data traffic through a single route eliminating any possible occurrence of bottleneck. The merits of our protocol in comparison to the presently existing routing protocols are justified through the simulation results obtained which show improvements in both the percentage ratio of successful transmission of data packets to the total number of data packets sent and the overall network lifetime.
机译：无线传感器网络人口非常稠密，在紧急情况或活动频繁期间必须处理大量的数据突发，从而导致拥塞，从而可能干扰正常运行。本文提出了一种新的拥塞控制协议，用于根据不同的路由信任值在源节点和接收节点之间存在的不同路径之间平衡流量分配。可以借助遗传算法对通过各种备用路径进行数据传输的这种概率方法进行适当建模。我们的协议主要针对比不可靠的路由更频繁地选择可靠或可信的路由。此外，它还可以防止整个数据流量通过一条路径集中，从而消除了可能出现的瓶颈。通过获得的仿真结果可以证明我们的协议与当前现有路由协议相比的优点，这些结果表明，数据包成功传输对发送的数据包总数的百分比比率以及整个网络寿命都得到了改善。

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