无线传感网移动数据收集和充电方案规划

发布时间：2018-08-12 09:09

【摘要】：随着无线充电技术的发展,我们能为无线传感器网络中的传感器节点进行充电并让网络持续运行。同时数据收集一直是无线传感器网络研究的热点。传统的数据收集方式是传感器节点自组网通过多跳中继的方式将数据传送回基站。近来,移动数据收集被认为是一种比传统数据收集方式更有效的替代。因此,本文结合无线充电和移动数据收集,规划无线可充电传感器网络中移动数据收集结合充电的方案。基于离线模型,本文首先规划一套方案,离线模型假定传感器节点的电量消耗和数据产生率恒定,传感器节点的剩余电量可预测。然后在此基础上进一步研究在线模型中移动数据收集结合充电的方案,在线模型认为传感器节点的电量消耗和数据产生率不恒定,传感器节点的剩余电量不可预测。本文主要研究工作如下:(1)基于离线模型的方案使用多个SenCar来收集网络中的数据并对网络补充能量。此前学者规划的方案没有保证在每个周期能收集到网络中所有传感器节点产生的数据,且在网络运行过程中传感器节点会出现死亡(通常我们称传感器节点的剩余电量低于正常工作值为“死亡”)。在一些场景中,要保证传感器节点不能出现死亡。因此,以前的方案在这些场景中都不能使用。本文规划的方案要用尽可能少的SenCar(一种配备有数据收集装置和充电装置的移动小车)来收集到网络中每个传感器节点上一周期产生的数据且保证网络能持续运行,即网络中不会出现死亡节点。(2)早前的研究中,收集数据结合充电都是离线的被动式的。本篇论文基于在线模型进一步研究移动数据收集结合充电的方案,采用请求式策略。基于请求式策略,在单个SenCar的服务能力范围内,我们希望能收集到尽可能多的数据。为此,本文规划了一套权值优先方案,并且本文理论分析了单个SenCar能服务的网络规模上限。(3)本文在Eclipse的平台上,对方案进行编码实现。通过模拟实验,证明本文所提方案的可行性和有效性。
[Abstract]:With the development of wireless charging technology, we can charge sensor nodes in wireless sensor networks and keep the network running. At the same time, data collection has been a hot topic in wireless sensor networks. The traditional method of data collection is that the sensor nodes transmit the data back to the base station by multi-hop relay. Recently, mobile data collection has been considered to be a more effective alternative to traditional data collection. Therefore, combining wireless charging and mobile data collection, this paper plans the scheme of mobile data collection and charging in wireless rechargeable sensor networks. Based on the off-line model, this paper first plans a set of schemes. The off-line model assumes that the power consumption and data generation rate of the sensor node are constant, and the residual power of the sensor node can be predicted. Then the scheme of mobile data collection and charging in the online model is further studied. The online model considers that the power consumption and data generation rate of sensor nodes are not constant and the residual power of sensor nodes is unpredictable. The main work of this paper is as follows: (1) the scheme based on offline model uses multiple SenCar to collect the data of the network and replenish the energy to the network. Previous plans by scholars did not guarantee the collection of data generated by all sensor nodes in the network during each cycle. And the sensor node will die during the network operation (usually we call the residual power of the sensor node lower than the normal working value is called "death"). In some scenarios, make sure the sensor node does not die. Therefore, previous scenarios cannot be used in these scenarios. The plan in this paper is to use as little SenCar as possible (a mobile car with data collection devices and charging devices) to collect the data generated in the last cycle of each sensor node in the network and to ensure that the network continues to run. In other words, there are no dead nodes in the network. (2) in previous studies, data collection and charging are all passive offline. Based on the online model, this paper further studies the scheme of mobile data collection combined with charging, and adopts a request strategy. Based on the request strategy, we hope to collect as much data as possible within the service capability of a single SenCar. For this reason, this paper plans a set of weighted priority schemes, and theoretically analyzes the upper limit of the network size of a single SenCar service. (3) this paper encodes the scheme on the platform of Eclipse. The feasibility and effectiveness of the proposed scheme are proved by simulation experiments.
【学位授予单位】：杭州电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN929.5

【参考文献】