A pre-emptive multiple queue based congestion control for different traffic classes in WSN
A pre-emptive multiple queue based congestion control for different traffic classes in WSN
复制标题
WSN中不同流量类别的抢占式多队列拥塞控制
DOI：
10.1109/cimca.2014.7057793
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
B. Kumar
中科院分区：
文献类型：
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作者：
G. Sunitha;S. D. Kumar;B. Kumar
无线传感器网络（WSN）中的流量呈现多对一的模式，即多个源节点向单个汇聚节点发送感知数据。在无线传感器网络中，由于带宽、处理器和存储器的高度受限，当大量的流量涌向sink时，数据包丢失是很常见的。系统必须为各个业务类别提供差异化服务。提出了一种基于抢占式多队列的拥塞控制机制。为了检测拥塞并为高优先级业务提供QoS，使用多个缓冲器。使用该机制，实现了高系统利用率、减少的分组等待时间和减少的分组丢弃概率。通过计算系统吞吐量、数据包丢弃概率和平均队列长度等性能指标，建立了一个分析模型来预测该机制的性能。通过分析和仿真结果的比较，证明了该模型的有效性和准确性。马尔可夫过程被用来开发的分析模型和ns-2的评价机制的性能。
Traffic in wireless sensor networks (WSN) exhibits a many-to-one pattern in which multiple source nodes send sensing data to a single sink node. Since bandwidth, processor and memory are highly constrained in WSN, packet loss is common when a great deal of traffic rushes to sink. The system must provide differentiated service to individual traffic classes. In this paper, a pre-emptive multiple queue based congestion control mechanism is proposed. To detect congestion and to provide QoS for high priority traffic multiple buffers are used. Using this mechanism, high system utilization, reduced packet waiting time, and reduced packet drop probability are achieved. An analytical model is developed to predict the performance of the proposed mechanism by calculating the performance measures including system throughput, drop probability of packets, and mean queue length. By comparing analytical and simulation results the effectiveness and accuracy of the model is demonstrated. Markovian process is used to develop the analytical model and ns-2 for evaluating the performance of the mechanism.