论文标题
TLFW:带有移动基站的无线可充电传感器网络中的三层框架
TLFW: A Three-layer Framework in Wireless Rechargeable Sensor Network with a Mobile Base Station
论文作者
论文摘要
无线传感器网络作为对物联网的基本支持一直是大量的受欢迎程度和应用。例如智能农业,我们必须使用传感器网络来获得农作物的增长环境数据等。但是,无线节点的电源难度严重阻碍了物联网的应用和开发。为了解决这个问题,人们在节点上使用低功率,睡眠计划和其他节能方法。尽管这些方法可以延长节点的工作时间,但由于能量耗尽,它们最终将变得无效。在环境中使用太阳能,风能和无线信号以获取能量是解决节点能量问题的另一种方法。但是,这些方法受到天气,环境和其他因素的影响,并且不稳定。因此,引起节点的不连续性工作。近年来,无线功率传输(WPT)的开发为这个问题带来了另一种解决方案。在本文中,为可充电无线传感器网络中的移动站数据收集提供了一个三层框架,以使节点永远运行,名为TLFW,其中包括传感器层,群集头层和移动站层。框架可以最大程度地减少系统的总能耗。模拟结果表明,与可充电传感器网络(MSIRSN)中的移动站相比,该方案可以减少整个系统的能耗。
Wireless sensor networks as the base support for the Internet of things has been a large number of popularity and application. Such as intelligent agriculture, we have to use the sensor network to obtain the growth environmental data of crops, etc.. 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 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).