科研成果详情

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. 

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. © 2017, Science Press. All right reserved.