ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2017, Vol. 54 ›› Issue (5): 925-939.doi: 10.7544/issn1000-1239.2017.20160492

• 网络技术 • 上一篇    下一篇

传感云研究综述

曾建电1,王田1,贾维嘉2,彭绍亮3,王国军4   

  1. 1(华侨大学计算机科学与技术学院 福建厦门 361021); 2(上海交通大学电子信息与电气工程学院 上海 200240); 3(国防科学技术大学计算机学院 长沙 410073); 4(广州大学计算机科学与教育软件学院 广州 510006) (zengjiandian@foxmail.com)
  • 出版日期: 2017-05-01
  • 基金资助: 
    国家“九七三”重点基础研究发展计划基金项目(2015CB352401);国家自然科学基金项目(61532013,61672441,61572206);华侨大学研究生科研创新培育项目(1511414002)

A Survey on Sensor-Cloud

Zeng Jiandian1, Wang Tian1, Jia Weijia2, Peng Shaoliang3, Wang Guojun4   

  1. 1(College of Computer Science, Huaqiao University, Xiamen, Fujian 361021); 2(School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240); 3(College of Computer, National University of Defense Technology, Changsha 410073); 4(School of Computer Science and Educational Software, Guangzhou University, Guangzhou 510006)
  • Online: 2017-05-01

摘要: 无线传感器网络(wireless sensor network, WSN)扩展了人们收集外界信息的能力,实现了信息世界与物理世界的融合.近年来云计算技术的快速发展,给传感器网络注入了新的活力,催生了新的应用和服务,也拓展了传感器网络在数据处理和存储方面的能力,在此基础上产生了传感云系统.传感云可以利用云端处理底层传感器网络产生的数据,并为上层用户提供远程服务,使用户能按需收集、处理、分析、存储和分享传感数据.在充分调研了目前的传感云系统的基础上,主要介绍了传感云的产生背景、体系结构和应用领域,归纳了传感云系统的特点,揭示了现有的传感云系统存在通信带宽不足、实时性差、故障率高和隐私数据易泄露等一系列问题,给出了基于雾计算的传感云框架,设计了解决问题的基本思路,探讨了未来的研究方向.

关键词: 传感云, 无线传感器网络, 云计算, 雾计算, 按需服务

Abstract: Wireless sensor network (WSN) has extended people’s ability of gathering information and integrated physical world with information world. In recent years, the emerging cloud computing has made remarkable development, which has injected new vitality into WSN. It leads to new applications and services, expands the ability of data processing and storage in WSN and even produces the sensor-cloud system. Sensor-cloud can deal with the information generated by underlying sensor network, and provide remote services for upper users, which enables users to gather, process, analyze, store and share sensed data according to their demands. In this paper, we investigate the existing sensor-cloud system in detail. We firstly introduce the background, system architecture and applications of the sensor-cloud, then summarize the characteristics of the existing sensor-cloud systems. We reveal the main problems of the existing sensor-cloud systems, such as poor bandwidth, high latency and high failure rate, et al. Moreover, we study the sensor-cloud structure based on fog computing, design the basic methods of solving the before-mentioned problems and discuss the future research directions.

Key words: sensor-cloud, wireless sensor network (WSN), cloud computing, fog computing, on-demand service

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