无线可充电传感器节点开发与能量管理研究
发布时间：2018-07-25 19:17
【摘要】：能量是制约无线传感器网络生命周期的重要问题。传统低功耗的无线传感器网络,一般使用电池进行供电。电池的周期性更换将大大提高网络维护的成本,且电池有限的能量也制约了整个无线传感器网络的可持续运行。为了使无线传感器网络可持续的工作,本文从能量收集与能量管理两方面展开工作。本文设计了能够主动收集射频能量的无线可充电传感器网络,其中的无线可充电传感器节点能够将收集到的射频能量转换为直流能量给自身供电。本文在调研能量管理技术的基础上,以随机事件捕获为背景,对无线可充电传感器网络的能量管理问题进行深入研究。 首先,开发了一种无线可充电的传感器节点,搭建了无线可充电传感器网络平台。无线可充电传感器节点能够收集射频能量发射器传输的射频能量,并将其转换为直流能量给自身供电。主要包括能量转换模块,微处理器模块,传感器模块以及通信模块。MIWITM P2P的协议标准实现了无线可充电传感器网络的数据通信,并完成了整个网络平台的搭建。 分析了无线可充电传感器网络各种不同工作状态的能耗。在无线可充电传感器网络的平台上,通过实验的方法进行能耗分析,得到了射频能量发射器与无线可充电传感器节点之间的能量传输模型,无线可充电传感器节点的漏电模型,以及不同环境下无线可充电传感器节点的采样、计算、通信和初始化的能耗模型。 最后设计了面向随机事件捕捉的能量管理的算法。在考虑节点捕捉概率的情况下,设计了单节点的调度方案。在此基础上考虑双节点与多节点的启发式调度方案与同步调度方案,以及各个方案的捕捉概率及其上限。得到启发式调度方案要优于同步调度方案的结论,并用仿真证明了上述结论。
[Abstract]:Energy is an important problem that restricts the life cycle of wireless sensor networks. Traditional low-power wireless sensor networks generally use batteries for power supply. The periodic replacement of the battery will greatly increase the cost of network maintenance, and the limited energy of the battery also restricts the sustainable operation of the whole wireless sensor network. In order to make WSN work sustainable, this paper starts from two aspects: energy collection and energy management. In this paper, we design a wireless rechargeable sensor network which can actively collect RF energy, in which the wireless rechargeable sensor node can convert the collected RF energy into DC energy to power itself. Based on the investigation of energy management technology, the energy management of wireless rechargeable sensor networks is studied in this paper based on random event capture. Firstly, a wireless rechargeable sensor node is developed and a wireless rechargeable sensor network platform is built. The wireless rechargeable sensor node can collect the RF energy transmitted by the RF energy transmitter and convert it into DC energy to power itself. It mainly includes energy conversion module, microprocessor module, sensor module and communication module. MIWITM P2P protocol standard realizes the data communication of wireless rechargeable sensor network, and completes the construction of the whole network platform. The energy consumption of wireless rechargeable sensor networks in different working states is analyzed. On the platform of wireless rechargeable sensor network, the energy transmission model between radio-frequency energy transmitter and wireless rechargeable sensor node and the leakage model of wireless rechargeable sensor node are obtained by analyzing the energy consumption of the wireless rechargeable sensor network. And the energy consumption model of sampling, computing, communication and initialization of wireless rechargeable sensor nodes in different environments. Finally, an energy management algorithm for random event capture is designed. Considering the probability of node capture, a single node scheduling scheme is designed. On this basis, the heuristic scheduling scheme and synchronous scheduling scheme of two-node and multi-node are considered, as well as the capture probability and upper limit of each scheme. The conclusion that the heuristic scheduling scheme is superior to the synchronous scheduling scheme is obtained, and the above conclusions are proved by simulation.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM619;TP212.9
本文编号：2144813
[Abstract]:Energy is an important problem that restricts the life cycle of wireless sensor networks. Traditional low-power wireless sensor networks generally use batteries for power supply. The periodic replacement of the battery will greatly increase the cost of network maintenance, and the limited energy of the battery also restricts the sustainable operation of the whole wireless sensor network. In order to make WSN work sustainable, this paper starts from two aspects: energy collection and energy management. In this paper, we design a wireless rechargeable sensor network which can actively collect RF energy, in which the wireless rechargeable sensor node can convert the collected RF energy into DC energy to power itself. Based on the investigation of energy management technology, the energy management of wireless rechargeable sensor networks is studied in this paper based on random event capture. Firstly, a wireless rechargeable sensor node is developed and a wireless rechargeable sensor network platform is built. The wireless rechargeable sensor node can collect the RF energy transmitted by the RF energy transmitter and convert it into DC energy to power itself. It mainly includes energy conversion module, microprocessor module, sensor module and communication module. MIWITM P2P protocol standard realizes the data communication of wireless rechargeable sensor network, and completes the construction of the whole network platform. The energy consumption of wireless rechargeable sensor networks in different working states is analyzed. On the platform of wireless rechargeable sensor network, the energy transmission model between radio-frequency energy transmitter and wireless rechargeable sensor node and the leakage model of wireless rechargeable sensor node are obtained by analyzing the energy consumption of the wireless rechargeable sensor network. And the energy consumption model of sampling, computing, communication and initialization of wireless rechargeable sensor nodes in different environments. Finally, an energy management algorithm for random event capture is designed. Considering the probability of node capture, a single node scheduling scheme is designed. On this basis, the heuristic scheduling scheme and synchronous scheduling scheme of two-node and multi-node are considered, as well as the capture probability and upper limit of each scheme. The conclusion that the heuristic scheduling scheme is superior to the synchronous scheduling scheme is obtained, and the above conclusions are proved by simulation.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM619;TP212.9
【引证文献】
相关博士学位论文 前3条
1 舒元超;无线可充电传感器网络系统分析与优化[D];浙江大学;2015年
2 傅凌q ;可充电传感器网络能量优化研究[D];浙江大学;2015年
3 张永敏;可充电传感器网络的资源管理与优化研究[D];浙江大学;2015年
相关硕士学位论文 前2条
1 王天驰;基于CPCI总线标准的数据采集系统设计与实现[D];浙江大学;2016年
2 李星宇;便携式小功率移动终端无线充电模块研究[D];杭州电子科技大学;2015年
，本文编号：2144813
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