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An optimized cluster-based WSN design for latency-critical applications

机译:针对延迟关键型应用程序的基于集群的优化WSN设计

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Markov-based analytical modeling has been used extensively to model the operation of the MAC protocol of the IEEE 802.15.4 standard under diverse assumptions. These models reveal the parameters that control the behavior of each node in the network such as end-to-end latency, reliability and power consumption. Focusing on improving a certain metric is highly dependent on the type of application the Wireless Sensor Network (WSN) is designed to support. Although reducing power consumption is a primary design factor in WSNs, the emergence of delay and reliability critical applications such as Smart Grid, healthcare, and the Intelligent Transportation System (ITS) calls for more stringent latency and reliability considerations. In this paper, we develop an optimization model for clustered WSNs to minimize the end-to-end delay and power consumption while maintaining certain levels of reliability. We formulate our optimization problem based on mathematical expressions derived from a Markov-based model. Our results indicate that the lower bounds to expect on latency and power consumption, under constraints on reliability and WSN cluster size, are within the limits required by latency-critical applications.
机译:基于马尔可夫的分析建模已广泛用于在各种假设下对IEEE 802.15.4标准的MAC协议的操作进行建模。这些模型揭示了控制网络中每个节点行为的参数,例如端到端延迟,可靠性和功耗。专注于改进特定指标在很大程度上取决于无线传感器网络(WSN)旨在支持的应用程序类型。尽管降低功耗是WSN的主要设计因素,但诸如智能电网,医疗保健和智能交通系统(ITS)之类的延迟和可靠性至关重要的应用的出现要求对延迟和可靠性进行更严格的考虑。在本文中,我们为集群式WSN开发了一个优化模型,以在保持一定程度的可靠性的同时最大程度地降低端到端的延迟和功耗。我们基于从基于马尔可夫模型的数学表达式来公式化优化问题。我们的结果表明,在可靠性和WSN群集大小的约束下,对延迟和功耗的期望下限处于对延迟至关重要的应用程序所要求的限制之内。

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