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Energy Harvesting Wireless Sensor Node With Temporal Death: Novel Models and Analyses

机译:具有暂时性死亡的能量收集无线传感器节点:新型模型和分析

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Energy harvesting wireless sensor net-work (EH-WSN) is promising in applications, however the frequent occurrence of temporal death of nodes, due to the limited harvesting capability, presents a difficulty in meeting the quality-of-service requirements of the network. For a node with temporal death in an EH-WSN, this paper presents a new model, which consists of, a Markov model to trace the energy harvesting process, a queuing analytical model to model the working mechanism of the sensor node and a continuous fluid process to capture the evolution of the residual energy in the EH-WSN node. Using the Markov fluid queue (MFQ) theory, we discuss various performance aspects of the EH-WSN node with temporal death, including the temporal death occurrence probability, the probability density of the residual energy, the stationary energy consumption, the queue length distribution in the data buffer, the packet blocking probability, and so on. In order to obtain the dropping probability of a given packet, based on the structure of the MFQ, we develop an auxiliary MFQ and derive the formulations of two types of the packet dropping probabilities, i.e., the packet dropping probability due to energy depletion and that due to channel error. Numerical examples are provided to illustrate the theoretical findings, and new insights into understanding the impacts of the parameters on the performance metrics are presented.
机译:能量收集无线传感器网络(EH-WSN)在应用中很有前途,但是,由于收集能力有限,节点的临时性死亡频繁发生,难以满足网络的服务质量要求。对于EH-WSN中具有暂时性死亡的节点,本文提出了一个新模型,该模型包括用于跟踪能量收集过程的马尔可夫模型,用于对传感器节点的工作机制和连续流体进行建模的排队分析模型。捕获EH-WSN节点中剩余能量演变的过程。使用马尔可夫流体排队(MFQ)理论,我们讨论了具有临时性死亡的EH-WSN节点的各个性能方面,包括临时性死亡发生概率,剩余能量的概率密度,固定能量消耗,队列长度分布等。数据缓冲区,数据包阻塞概率等。为了获得给定数据包的丢弃概率,基于MFQ的结构,我们开发了一个辅助MFQ,并推导了两种类型的数据包丢弃概率的公式,即能量损耗和由于频道错误。提供了数值示例来说明理论发现,并提出了新的见解,以了解参数对性能指标的影响。

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