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An Optimized Cluster-Based WSN Design for Latency-Critical Applications

机译：基于优化的基于群集的WSN设计，用于延迟关键型应用程序

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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Markov的分析建模已经广泛用于模拟IEEE 802.15.4标准的MAC协议的运行在不同的假设下。这些模型显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。专注于改善某个度量高度依赖于无线传感器网络（WSN）设计用于支持的应用类型。虽然降低功耗是WSNS​​中的主要设计因素，但延迟和可靠性关键应用的出现，如智能电网，医疗保健和智能交通系统（其）要求更严格的延迟和可靠性考虑。在本文中，我们开发了集群WSN的优化模型，以最小化端到端延迟和功耗，同时保持某些程度的可靠性。我们基于从基于Markov的模型派生的数学表达式制定我们的优化问题。我们的结果表明，在可靠性和WSN群集大小的约束下，期望对延迟和功耗的下限在延迟关键期权所需的限制范围内。

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