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

1
School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China
2
School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
3
Global Big Data Technologies Centre, University of Technology Sydney, Ultimo 2007, Australia
4
Data61, CSIRO, Sydney NSW 1466, Australia
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(2), 546; https://doi.org/10.3390/s18020546
Received: 16 January 2018 / Revised: 6 February 2018 / Accepted: 8 February 2018 / Published: 10 February 2018
(This article belongs to the Section Sensor Networks)
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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MDPI and ACS Style

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. https://doi.org/10.3390/s18020546

AMA Style

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(2):546. https://doi.org/10.3390/s18020546

Chicago/Turabian Style

Ma, Xingpo, Junbin Liang, Renping Liu, Wei Ni, Yin Li, Ran Li, Wenpeng Ma, and Chuanda Qi. 2018. "A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems" Sensors 18, no. 2: 546. https://doi.org/10.3390/s18020546

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