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Traffic management in wireless sensor networks: Decoupling congestion control and fairness

机译:无线传感器网络中的流量管理:消除拥塞控制和公平性

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摘要

In this paper, we propose a distributed congestion control algorithm for tree based communications in wireless sensor networks, that seeks to adaptively assign a fair and efficient transmission rate to each node. In our algorithm, each node monitors its aggregate output and input traffic rate. Based on the difference of the two, a node then decides to increase (if the output rate is more) or decrease (if the input rate is more) the bandwidth allocable to a flow originating from itself and to those being routed through it. Since the application requirements in sensor network follow no common trait, our design abstracts the notion of fairness, allowing for the development of a generic utility controlling module. Such separation of the utility and fairness controlling modules enable each one to use a separate control law, thereby portraying a more flexible design. The working of our congestion control is independent of the underlying routing algorithm and is designed to adapt to changes in the underlying routing topology. We evaluate the performance of the algorithm via extensive simulations using an event-driven packet level simulator. The results suggest that the proposed protocol acquires a significantly high goodput of around 95% of the actual transmission rate, converges quickly to the optimal rate, and attains the desired fairness.
机译:在本文中,我们提出了一种用于无线传感器网络中基于树的通信的分布式拥塞控制算法,旨在自适应地为每个节点分配公平有效的传输速率。在我们的算法中,每个节点监视其聚合的输出和输入流量速率。基于两者的差异,节点然后决定增加(如果输出速率更高)或降低(如果输入速率更高)可分配给源自其自身的流以及通过其路由的流的带宽。由于传感器网络中的应用需求不具有共同特征,因此我们的设计抽象了公平性的概念,从而允许开发通用公用事业控制模块。效用和公平性控制模块的这种分离使每个人都可以使用单独的控制律,从而描绘出更加灵活的设计。我们的拥塞控制的工作独立于基础路由算法,并且旨在适应基础路由拓扑的变化。我们通过使用事件驱动的数据包级别模拟器进行广泛的仿真来评估算法的性能。结果表明,所提出的协议获得了大约95%的实际传输速率的显着高吞吐量,并迅速收敛到最佳速率,并达到了所需的公平性。

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