Wireless sensor networks as the base support for the Internet of things have been a large number of popularity and application.\nSuch as intelligent agriculture, we have to use the sensor network to obtain the growing environment data of crops and others.\nHowever, the difficulty of power supply of wireless nodes has seriously hindered the application and development of Internet of\nthings. In order to solve this problem, people use low-power sleep scheduling and other energy-saving methods on the nodes.\nAlthough these methods can prolong the working time of nodes, they will eventually become invalid because of the exhaustion\nof energy. The use of solar energy, wind energy, and wireless signals in the environment to obtain energy is another way to solve\nthe energy problem of nodes. However, these methods are affected by weather, environment, and other factors, and they are\nunstable. Thus, the discontinuity work of the node is caused. In recent years, the development of wireless power transfer (WPT)\nhas brought another solution to this problem. In this paper, a three-layer framework is proposed for mobile station data\ncollection in rechargeable wireless sensor networks to keep the node running forever, named TLFW which includes the sensor\nlayer, cluster head layer, and mobile station layer. And the framework can minimize the total energy consumption of the system.\nThe simulation results show that the scheme can reduce the energy consumption of the entire system, compared with a Mobile\nStation in a Rechargeable Sensor Network (MSiRSN).
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