Congestion avoidance, detection and alleviation in wireless sensor networks
Congestion avoidance, detection and alleviation in wireless sensor networks
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DOI：
10.1631/jzus.c0910204
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发表时间：
2010-01-01
影响因子：
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通讯作者：
Qian, De-pei
中科院分区：
文献类型：
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作者：
Fang, Wei-wei;Chen, Ji-ming;Qian, De-pei
无线传感器网络中的拥塞不仅会导致严重的信息丢失，而且会导致过多的能量消耗。针对这一问题，提出了一种新的无线传感器网络拥塞避免、检测和缓解方案（CADA）。通过利用数据特征，从事件区域中选择少量代表性节点作为数据源，从而可以主动抑制源流量以避免潜在的拥塞。一旦由于业务合并而不可避免地发生拥塞，热点节点将基于缓冲区占用和信道利用率的组合及时地检测到拥塞。然后，根据特定的热点场景，通过动态业务复用或源速率调节来反应性地缓解拥塞。在典型拥塞情况下的仿真结果表明，该方案具有良好的性能。
Congestion in wireless sensor networks (WSNs) not only causes severe information loss but also leads to excessive energy consumption. To address this problem, a novel scheme for congestion avoidance, detection and alleviation (CADA) in WSNs is proposed in this paper. By exploiting data characteristics, a small number of representative nodes are chosen from those in the event area as data sources, so that the source traffic can be suppressed proactively to avoid potential congestion. Once congestion occurs inevitably due to traffic mergence, it will be detected in a timely way by the hotspot node based on a combination of buffer occupancy and channel utilization. Congestion is then alleviated reactively by either dynamic traffic multiplexing or source rate regulation in accordance with the specific hotspot scenarios. Extensive simulation results under typical congestion scenarios are presented to illuminate the distinguished performance of the proposed scheme.