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When Sensor-Cloud Meets Mobile Edge Computing

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College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China
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Key Laboratory of Computer Vision and Machine Learning (Huaqiao University), Fujian Province University, Xiamen 361021, China
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College of Engineering, Nanjing Agricultural University, Nanjing 210095, China
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Department of Computing, Macquarie University, Macquarie Park, NSW 2109, Australia
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College of Computer Science and Engineering, Central South University, Changsha 410083, China
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School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(23), 5324; https://doi.org/10.3390/s19235324
Received: 21 October 2019 / Revised: 28 November 2019 / Accepted: 29 November 2019 / Published: 3 December 2019
Sensor-clouds are a combination of wireless sensor networks (WSNs) and cloud computing. The emergence of sensor-clouds has greatly enhanced 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 to be solved in sensor-clouds, such as the limitations of WSNs in terms of communication and energy, the high latency, and the security and privacy issues due to applying a cloud platform as the data processing and control center. In recent years, mobile edge computing has received increasing attention from industry and academia. The core of mobile 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 mobile edge computing great potential in solving the shortcomings of sensor-clouds. In this paper, the latest research status of sensor-clouds is briefly analyzed and the characteristics of the existing sensor-clouds are summarized. After that we discuss the issues of sensor-clouds and propose some applications, especially a trust evaluation mechanism and trustworthy data collection which use mobile edge computing to solve the problems in sensor-clouds. Finally, we discuss research challenges and future research directions in leveraging mobile edge computing for sensor-clouds. View Full-Text
Keywords: sensor-clouds; WSNs; cloud computing; mobile edge computing sensor-clouds; WSNs; cloud computing; mobile edge computing
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Wang, T.; Lu, Y.; Cao, Z.; Shu, L.; Zheng, X.; Liu, A.; Xie, M. When Sensor-Cloud Meets Mobile Edge Computing. Sensors 2019, 19, 5324.

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