TLFW: A Three-Layer Framework in Wireless Rechargeable Sensor Network with a Mobile Base Station
TLFW: A Three-Layer Framework in Wireless Rechargeable Sensor Network with a Mobile Base Station
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TLFW：带有移动基站的无线可充电传感器网络的三层框架
DOI：
10.1155/2020/3627826
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发表时间：
2020-09-26
影响因子：
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通讯作者：
Yin，Guangcheng
中科院分区：
文献类型：
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作者：
Wang，Anwen;Meng，Xianjia;Yin，Guangcheng
无线传感器网络作为物联网的基础支撑得到了大量的普及和应用。比如智能农业，我们要利用传感器网络来获取农作物等的生长环境数据。然而，无线节点的供电困难严重阻碍了物联网的应用和发展。为了解决这个问题，人们在节点上采用低功耗睡眠调度等节能方法。虽然这些方法可以延长节点的工作时间，但最终会因为能量耗尽而失效。利用环境中的太阳能、风能、无线信号获取能量是解决节点能量问题的另一种方式。然而，这些方法受天气、环境和其他因素的影响，并且它们不稳定。这样就造成了节点功的不连续性。近年来，无线电力传输（WPT）的发展为这个问题带来了另一种解决方案。提出了一种可充电无线传感器网络中移动的站点数据采集的三层框架TLFW，该框架包括传感器层、簇头层和移动的站点层。该框架能够最小化系统的总能耗。仿真结果表明，与可充电传感器网络（MSiRSN）中的移动的基站相比，该方案能够降低整个系统的能量消耗。
Wireless sensor networks as the base support for the Internet of things have been a large number of popularity and application. Such as intelligent agriculture, we have to use the sensor network to obtain the growing environment data of crops and others. However, the difficulty of power supply of wireless nodes has seriously hindered the application and development of Internet of things. In order to solve this problem, people use low‐power sleep scheduling and other energy‐saving methods on the nodes. Although these methods can prolong the working time of nodes, they will eventually become invalid because of the exhaustion of energy. The use of solar energy, wind energy, and wireless signals in the environment to obtain energy is another way to solve the energy problem of nodes. However, these methods are affected by weather, environment, and other factors, and they are unstable. Thus, the discontinuity work of the node is caused. In recent years, the development of wireless power transfer (WPT) has brought another solution to this problem. In this paper, a three‐layer framework is proposed for mobile station data collection in rechargeable wireless sensor networks to keep the node running forever, named TLFW which includes the sensor layer, cluster head layer, and mobile station layer. And the framework can minimize the total energy consumption of the system. The simulation results show that the scheme can reduce the energy consumption of the entire system, compared with a Mobile Station in a Rechargeable Sensor Network (MSiRSN).