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Hop-by-hop congestion control and load balancing in wireless sensor networks

机译:无线传感器网络中的逐跳拥塞控制和负载平衡

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Due to the relatively high node density and source-to-sink communication pattern, wireless sensor networks (WSNs) are subject to congestion and packet losses. Further, the availability of low-cost hardware, such as Cyclops cameras, is promoting wireless multimedia sensing to support, for example, visual surveillance. As a result, congestion control is becoming more critical in WSNs. In this paper, we present a lightweight distributed congestion control method in WSNs. We develop new metrics to detect congestion in each node by considering the queue lengths and channel conditions observed in the one-hop neighborhood. Based on the estimated level of congestion, each node dynamically adapts its packet transmission rate and balance the load among the one-hop neighbors to avoid creating congestion and bottleneck nodes. In a simulation study performed in OMNeT++, our approach significantly enhances the end-to-end (e2e) packet delivery ratio and reduces the e2e delay without increasing the total energy consumption compared to the tested baseline approach.
机译:由于相对较高的节点密度和源到汇的通信模式,无线传感器网络(WSN)容易出现拥塞和数据包丢失。此外,诸如Cyclops相机之类的低成本硬件的可用性正在促进无线多媒体传感以支持例如视觉监视。结果,拥塞控制在WSN中变得越来越重要。在本文中,我们提出了一种在无线传感器网络中的轻量级分布式拥塞控制方法。我们通过考虑在单跳邻居中观察到的队列长度和信道条件,开发了新的指标来检测每个节点中的拥塞。基于估计的拥塞程度,每个节点可以动态调整其数据包传输速率,并在单跳邻居之间平衡负载,以避免造成拥塞和瓶颈节点。在OMNeT ++中进行的仿真研究中,与经过测试的基线方法相比,我们的方法显着提高了端到端(e2e)数据包传输率并减少了e2e延迟。

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