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Sensors 2018, 18(2), 546; doi:10.3390/s18020546

A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems

School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China
School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
Global Big Data Technologies Centre, University of Technology Sydney, Ultimo 2007, Australia
Data61, CSIRO, Sydney NSW 1466, Australia
Author to whom correspondence should be addressed.
Received: 16 January 2018 / Revised: 6 February 2018 / Accepted: 8 February 2018 / Published: 10 February 2018
(This article belongs to the Section Sensor Networks)
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In the post-Cloud era, the proliferation of Internet of Things (IoT) has pushed the horizon of Edge computing, which is a new computing paradigm with data processed at the edge of the network. As the important systems of Edge computing, wireless sensor and actuator networks (WSANs) play an important role in collecting and processing the sensing data from the surrounding environment as well as taking actions on the events happening in the environment. In WSANs, in-network data storage and information discovery schemes with high energy efficiency, high load balance and low latency are needed because of the limited resources of the sensor nodes and the real-time requirement of some specific applications, such as putting out a big fire in a forest. In this article, the existing schemes of WSANs on data storage and information discovery are surveyed with detailed analysis on their advancements and shortcomings, and possible solutions are proposed on how to achieve high efficiency, good load balance, and perfect real-time performances at the same time, hoping that it can provide a good reference for the future research of the WSANs-based Edge computing systems. View Full-Text
Keywords: Internet of Things; Edge computing; WSANs; data storage; information discovery Internet of Things; Edge computing; WSANs; data storage; information discovery

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ma, X.; Liang, J.; Liu, R.; Ni, W.; Li, Y.; Li, R.; Ma, W.; Qi, C. A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems. Sensors 2018, 18, 546.

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