摘要
数据收集是无线传感器网络(WSN)中执行的主要操作之一,即使是过去十年,一些研究者提出了几种有趣的数据收集方法,但数据收集仍然是一个充满展望的研究重点,存在许多挑战。实际上,传感器尺寸和成本的不断降低,市场上可用的各种传感器以及无线通信技术的巨大进步,可能会扩大无线传感器网络的影响,其应用已广泛涉及家庭自动化、环境监测和跟踪以及人类活动的其他领域。此外,物联网(IoT)的扩展导致了以指数速率产生的大量异构数据,这些数据对工业生产和科学研究都很重要。这一事实使得对它们的收集和分析在许多方面都势在必行。回顾了大规模无线传感器网络(LS-WSN)中大数据采集的背景和现状,比较和讨论了LS-WSN中大数据采集的挑战,并提出了未来的可能方向。
Data collection is one of the main operations performed in Wireless Sensor Networks (WSN).Even in the past decade,some researchers have proposed several interesting data collection methods,but data collection is still a promising research focus,there are many challenges.In fact,the ever-decreasing size and cost of sensors,the variety of sensors available on the market,and the tremendous advances in wireless communication technologies may expand the impact of wireless sensor networks,such as home automation,environmental monitoring and tracking,and other areas of human activity.In addition,the expansion of the Internet of Things (IoT) has led to a large amount of heterogeneous data generated at an exponential rate,which is important for both industry and research.This fact makes their collection and analysis imperative in many ways.This paper reviews the background and current status of big data acquisition in large-scale wireless sensor networks (LS-WSN),compares and discusses the challenges of big data acquisition in LS-WSN,and proposes possible future directions.
作者
张屹
陈立军
蒋慧勇
Zhang Yi;Chen Lijun;Jiang Huiyong(South China Institute of Software Engineering of Guangzhou University,Guangzhou 510990,China)
出处
《信息技术与网络安全》
2019年第9期39-43,共5页
Information Technology and Network Security
关键词
大数据
无线传感
大规模
数据采集
物联网
big data
wireless sensing
large-scale
data collection
Internet of Things
