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Performance Evaluation in WSNs Based on Max-Plus and Time-Domain Stochastic Network Calculus

机译:基于Max-Plus和时域随机网络演算的无线传感器网络性能评估

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With the increasing deployment of wireless sensor networks(WSNs), real-time applications in WSNs make it necessary to provide the guaranteed quality of service(QoS). As a result, performance analysis of wireless sensor networks have become increasingly important. In this paper, we consider the dynamic characteristic of WSNs, a performance evaluation model using stochastic network calculus(SNC) is proposed to guarantee stochastic service. By combining stochastic network calculus with max-plus and time-domain, our performance evaluation model is not only used to deal with queuing type problem, but also extended to aggregate scheduling networks to support perflow service. The numerical results demonstrate this model is scalable and can provide a precision delay and backlog upperbound of tandem nodes or single-node. Our model contributes to guaranteeing QoS support and configuring buffer dimensioning.
机译:随着无线传感器网络(WSN)的部署不断增加,WSN中的实时应用使得有必要提供有保证的服务质量(QoS)。结果,无线传感器网络的性能分析变得越来越重要。本文考虑了无线传感器网络的动态特性,提出了一种基于随机网络演算(SNC)的性能评估模型来保证随机服务的性能。通过将随机网络演算与max-plus和时域相结合,我们的性能评估模型不仅用于处理排队类型问题,而且还扩展到聚合调度网络以支持perflow服务。数值结果表明,该模型具有可扩展性,可以提供精确的延迟和串联节点或单节点的积压上限。我们的模型有助于保证QoS支持和配置缓冲区大小。

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