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首页> 外文期刊>Fortschritte der Physik >Wireless Power Transfer and Data Collection in Wireless Sensor Networks
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Wireless Power Transfer and Data Collection in Wireless Sensor Networks

机译：无线传感器网络中的无线电力传输和数据收集

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摘要

In a rechargeable wireless sensor network, the data packets are generated by sensor nodes at a specific data rate, and transmitted to a base station. Moreover, the base station transfers power to the nodes by using wireless power transfer (WPT) to extend their battery life. However, inadequately scheduling WPT and data collection causes some of the nodes to drain their battery and have their data buffer overflow, whereas the other nodes waste their harvested energy, which is more than they need to transmit their packets. In this paper, we investigate a novel optimal scheduling strategy, called EHMDP, aiming to minimize data packet loss from a network of sensor nodes in terms of the nodes' energy consumption and data queue state information. The scheduling problem is first formulated by a centralized MDP model, assuming that the complete states of each node are well known by the base station. This presents the upper bound of the data that can be collected in a rechargeable wireless sensor network. Next, we relax the assumption of the availability of full state information so that the data transmission and WPT can be semidecentralized. The simulation results show that, in terms of network throughput and packet loss rate, the proposed algorithm significantly improves the network performance.
机译：在可再充电的无线传感器网络中，数据分组由特定数据速率的传感器节点生成，并将其发送到基站。此外，基站通过使用无线电力传输（WPT）来传送到节点的电力以延长其电池寿命。然而，在调度WPT和数据收集不充分的情况下导致一些节点来耗尽电池并具有其数据缓冲区溢出，而另一个节点浪费它们的收获能量，这比他们传输它们的数据包的更多。在本文中，我们调查了一种名为EHMDP的新颖最佳调度策略，其目的是在节点的能量消耗和数据队列状态信息方面从传感器节点的网络中最小化数据包丢失。首先通过集中式MDP模型制定调度问题，假设每个节点的完整状态是基站众所周知的。这提出了可以在可充电的无线传感器网络中收集的数据的上限。接下来，我们放宽全状态信息的可用性，以便可以将数据传输和WPT进行半传输。仿真结果表明，在网络吞吐量和丢包率方面，所提出的算法显着提高了网络性能。

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