Abstract
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).
Highlights
Internet of things (IoTs) are applied everywhere
Compared to traveling all nodes in [12, 13], the strategy reduces the proportion of the traveling time in total time, leading to reduction of the total energy consumption in the entire system, which includes power used by the CBW and the power consumed for wireless power transfer
Compared to traveling all nodes in the above methods [12, 13], the strategy reduces the proportion of the traveling time in total time, leading to the reduction of the total energy consumption in the entire system, which includes power used by the CBW and the power consumed for wireless power transfer
Summary
Internet of things (IoTs) are applied everywhere now. Wireless sensor network as the base support for the Internet of things has been a large number of popularity and application. In order to solve this problem, there are several solution techniques that have been proposed to maximize the lifetime of wireless sensor network, such as energy-aware routing protocols [1, 2], energy-efficient MAC protocols [3], redundant development of nodes [4], and power management strategies [5, 6]. Summary and Contribution (i) In this paper, we design a three-layer framework for rechargeable wireless sensor network based on mobile base station, which reduces the energy consumption of mobile charging process (ii) A centralized clustering algorithm is proposed, which organizes sensors into m clusters, optimizes mobile charging strategy, and shortens mobile charging time (iii) An optimization method of joint charging plan is designed. The problem of energy supply for highdensity wireless sensor network is solved
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