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| 基于边缘计算的传感云研究进展 |
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曹芷晗1, 卢煜成1, 赖思思1, 於志勇2,3, 马樱4, 王田1,4
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1.华侨大学 计算机科学与技术学院, 福建 厦门 361021;2.福州大学 数学与计算机科学学院, 福建 福州 350108;3.福建省网络计算与智能信息处理重点实验室(福州大学), 福建 福州 350108;4.数据挖掘与智能推荐福建省高校重点实验室(厦门理工学院), 福建 厦门 361024
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| 摘要: |
| 传感云是无线传感器网络（wireless sensor networks，简称WSNs）和云计算的结合.通过利用云计算在资源利用方面的优势，传感云（sensor-cloud）极大地提高了传统无线传感器网络的计算能力和存储容量.然而，传感云仍有许多问题需要解决，例如无线传感器网络在通信和能源方面的局限性，以及将云平台作为数据处理和控制中心所带来的高延迟和安全隐私问题.边缘计算具有解决传感云缺点的巨大潜力，其核心是将云计算中心的部分或全部计算任务迁移到数据源附近进行处理.经过大量调研，分析了传感云的最新研究现状，总结了现有传感云的特点，揭示了已有传感云方案中的问题，提出了基于边缘计算的传感云实现方案.最后，探讨了该研究面临的挑战和未来研究方向. |
| 关键词: 传感云 无线传感器网络 云计算 边缘计算 隐私安全 |
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| 基金项目:国家自然科学基金（61502404）；数据挖掘与智能推荐福建省高校重点实验室开放基金（DM201902）；福建省网络计算与智能信息处理重点实验室开放课题；福建省社会科学规划基金（FJ2018B038）；福建省自然科学基金（2018J01092，2019J01851）；华侨大学研究生科研创新基金（17014083012） |
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| Survey on Sensor-Cloud Based on Edge Computing |
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CAO Zhi-Han1, LU Yu-Cheng1, LAI Si-Si1, YU Zhi-Yong2,3, MA Ying4, WANG Tian1,4
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1.College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China;2.College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China;3.Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing(Fuzhou University), Fuzhou 350108, China;4.Key Laboratory of Data Mining and Intelligent Recommendation(Xiamen University of Technology), Xiamen 361024, China
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| Abstract: |
| Sensor-cloud is a combination of wireless sensor networks (WSNs) and cloud computing. The emergence of sensor-cloud greatly enhances the computing power and storage capacity of traditional WSNs via exploiting the advantages of cloud computing in resource utilization. However, there are still many problems that need to be solved in sensor-cloud, such as the limitations of WSNs in terms of communication and energy, the high latency and privacy security issues due to applying cloud platform as the data processing and control center. The core of edge computing is to migrate some or all of the computing tasks of the original cloud computing center to the vicinity of the data source, which gives edge computing great potential in solving the shortcomings of sensor-cloud. After a lot of research, the latest research status of sensor-cloud was analyzed, the characteristics of existing sensor-cloud were summarized, the problems of existing sensor-cloud solution were revealed and the implementation scheme of sensor-cloud based on edge computing was proposed. Finally, the challenges and future research directions of the research in sensor-cloud were discussed. |
| Key words: sensor-cloud WSNs cloud computing edge computing privacy security |
