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首页> 外文期刊>IEEE systems journal >Fair and Low Complexity Node Selection in Energy Harvesting Wireless Sensor Networks
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Fair and Low Complexity Node Selection in Energy Harvesting Wireless Sensor Networks

机译：能量收集无线传感器网络中公平和低复杂度的节点选择

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摘要

The use of energy harvesting in wireless sensor networks is an emerging wireless communication technology with a wide range of applications. Maximizing the number of samples collected by the sensor nodes and transmitted to the sink is a key element in order to minimize uncertainties for those applications. This work considers energy harvesting sensor nodes that are transmitting to a nonenergy harvesting sink. Using a zero-forcing (ZF) receiver, the sink selects the largest possible set of transmitting sensor nodes to maximize the received quantity of information while the selected transmissions should satisfy a given quality of service defined by signal-to-noise ratio and certain fairness constraint. The maximization problem is formulated as an integer nonlinear program and it is proved to be NP-hard. Thus, two low complexity and efficient heuristic algorithms are proposed to solve this problem. Two other variants are also proposed in order to improve the system fairness. We demonstrate via simulations in a node selection context that the proposed algorithms which consider the energy state of the system better exploit the full system resources compared to state-of-the-art algorithms which only consider channel conditions. Interestingly, simulation results show that the performance of the proposed algorithms varies as a function of the energy availability. Hence, they are adapted to the energy harvesting context.
机译：无线传感器网络中能量收集的使用是一种新兴的无线通信技术，具有广泛的应用范围。最大化传感器节点收集并传输到接收器的样本数量是一个关键因素，目的是使这些应用程序的不确定性最小化。这项工作考虑了正在传输到非能量收集接收器的能量收集传感器节点。使用零强制（ZF）接收器，接收器选择最大可能的一组传输传感器节点，以最大化接收的信息量，同时所选传输应满足由信噪比和一定公平性定义的给定服务质量约束。最大化问题被公式化为整数非线性程序，并且证明是NP难的。因此，提出了两种低复杂度和高效的启发式算法来解决该问题。还提出了另外两个变体，以提高系统的公平性。通过在节点选择上下文中的仿真，我们证明了与仅考虑信道条件的最新算法相比，考虑到系统能量状态的拟议算法可以更好地利用整个系统资源。有趣的是，仿真结果表明，所提出算法的性能随能量可用性而变化。因此，它们适合于能量收集环境。

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