当前位置: X-MOL 学术Wirel. Commun. Mob. Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
TLFW: A Three-Layer Framework in Wireless Rechargeable Sensor Network with a Mobile Base Station
Wireless Communications and Mobile Computing ( IF 2.146 ) Pub Date : 2020-09-26 , DOI: 10.1155/2020/3627826
Anwen Wang 1 , Xianjia Meng 1 , Lvju Wang 1 , Xiang Ji 1 , Hao Chen 2 , Baoying Liu 1 , Feng Chen 1 , Yajuan Du 3 , Guangcheng Yin 4
Affiliation  

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).

中文翻译:

TLFW:具有移动基站的无线充电传感器网络中的三层框架

以无线传感器网络为基础的物联网已经得到了广泛的普及和应用。例如智能农业,我们必须使用传感器网络来获取农作物和其他作物的生长环境数据。但是,无线节点供电的困难严重阻碍了物联网的应用和发展。为了解决这个问题,人们在节点上使用了低功耗的睡眠调度和其他节能方法。尽管这些方法可以延长节点的工作时间,但由于耗尽能量最终将变得无效。在环境中利用太阳能,风能和无线信号获取能量是解决节点能量问题的另一种方法。但是,这些方法会受到天气,环境,和其他因素,并且不稳定。因此,引起了节点的不连续工作。近年来,无线电力传输(WPT)的发展为该问题带来了另一种解决方案。本文提出了一个三层框架,用于可充电无线传感器网络中的移动站数据收集,以保持节点永远运行,这个名为TLFW的节点包括传感器层,簇头层和移动站层。而且该框架可以最大程度地减少系统的总能耗。仿真结果表明,与可充电传感器网络(MSiRSN)中的移动站相比,该方案可以减少整个系统的能耗。无线功率传输(WPT)的发展为该问题带来了另一种解决方案。本文提出了一个三层框架,用于可充电无线传感器网络中的移动站数据收集,以保持节点永远运行,这个名为TLFW的节点包括传感器层,簇头层和移动站层。而且该框架可以最大程度地减少系统的总能耗。仿真结果表明,与可充电传感器网络(MSiRSN)中的移动站相比,该方案可以减少整个系统的能耗。无线功率传输(WPT)的发展为该问题带来了另一种解决方案。本文提出了一个三层框架,用于可充电无线传感器网络中的移动站数据收集,以保持节点永远运行,这个名为TLFW的节点包括传感器层,簇头层和移动站层。而且该框架可以最大程度地减少系统的总能耗。仿真结果表明,与可充电传感器网络(MSiRSN)中的移动站相比,该方案可以减少整个系统的能耗。集群头层和移动台层。而且该框架可以最大程度地减少系统的总能耗。仿真结果表明,与可充电传感器网络(MSiRSN)中的移动站相比,该方案可以减少整个系统的能耗。集群头层和移动台层。而且该框架可以最大程度地减少系统的总能耗。仿真结果表明,与可充电传感器网络(MSiRSN)中的移动站相比,该方案可以减少整个系统的能耗。
更新日期:2020-09-26
down
wechat
bug