Status | 已发表Published |
Title | 基于雾计算的可信传感云研究进展 |
Alternative Title | Research progress of trusted sensor-cloud based on fog computing |
Creator | |
Date Issued | 2019 |
Source Publication | 通信学报; Journal on Communications |
ISSN | 1000-436X |
Volume | 40 |
Issue | 3 |
Pages | 170 - 181 |
Abstract |
云计算技术与无线传感器网络结合所产生的传感云(sensor-cloud)系统已经逐渐成为研究的热点。传感云在云计算平台的支撑下扩展了传统传感网的服务能力。对目前主流传感云系统进行了充分调研,总结了传感云系统的特点和发展规律,发现系统中存在的可信问题将直接影响到上层数据保护和应用;揭示了已有方案难以提供可信传感云服务是因为底层无线传感网能量不足、计算能力弱、易故障等,以及云计算模式缺乏对底层传感器节点和数据的直接管理等;构建了基于雾计算模式的可信传感云实现框架,设计了可信评估、可信数据收集、可信存储等关键技术,也为后续研究提出可供借鉴的新思路。 |
Other Abstract | The sensor-cloud is combined with cloud computing and wireless sensor networks, which extends the service ability of WSN by the support of cloud computing. It is one of the hot topics among the current researches. After comparing and surveying the mainstream system adequately, the characteristics and development of sensor-Cloud were summed up. Then, the direct influence of existing trust issues in the system for data protection and application on upper layer were found. The announced reasons explained that existing schemes were difficult to provide trusted sensor-cloud services. This was because that the capabilities of the underlying WSN nodes were too weak, and cloud computing model lacked the direct management of underlying nodes and data and so on. The trusted structures based on fog computing were given, and the key technologies of trusted evaluation, trusted data collection, and trusted storage were designed. Finally, the discussion pointed out new views for the researches in trusted sensor-cloud. © 2019, Editorial Board of Journal on Communications. All right reserved. |
DOI | 10.11959/j.issn.1000-436x.2019068 |
URL | View source |
Language | 中文Chinese |
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Document Type | Review |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/5291 |
Collection | Research outside affiliated institution |
Affiliation | 1.华侨大学计算机科学与技术学院 2.澳门大学智能城市物联网国家重点实验室 3.广州大学计算机科学与教育软件学院 4.上海交通大学电子信息与电气工程学院 |
Recommended Citation GB/T 7714 | 王田,沈雪微,罗皓等. 基于雾计算的可信传感云研究进展. 2019. |
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