In this paper we propose a generic queueing model that can be used to evaluate the performance of a wireless sensor node that uses energy harvesting. The alteration of such a device between the transmit and sleep mode (or between consuming energy and harvesting energy), is modeled by means of a finite capacity queueing system with repeated server vacations. The duration of a service, resp. vacation, is determined by the available energy at the start of the service, resp. vacation. Therefor we introduce in the model a variable that keeps track of the available energy. The system occupancy and the available energy are observed at inspection instants (i.e., the end of a service or of a vacation), resulting in a discrete-time Markov Chain. We derive closed form formulas for the system occupancy distribution at inspection instants and at arbitrary time instants together with the Laplace transform of the waiting time distribution. The possible use of the model to evaluate the system’s performance for various parameter values is illustrated by means of a number of examples.

在本文中，我们提出了一种通用排队模型，该模型可用于评估使用能量收集的无线传感器节点的性能。借助于具有重复服务器休假的有限容量排队系统，可以模拟这种设备在发送和睡眠模式之间（或在消耗能量和收集能量之间）的变化。服务的持续时间，分别。假期，取决于服务开始时的可用能量。假期。因此，我们在模型中引入了一个变量，该变量跟踪可用能量。在检查时刻（即服务结束或休假）观察系统占用率和可用能量，从而得到离散时间的马尔可夫链。我们导出了在检查时刻和任意时刻的系统占用率分布的封闭形式公式，以及等待时间分布的Laplace变换。通过许多示例说明了该模型对各种参数值评估系统性能的可能用途。