A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems
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...
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MDPI AG
2018-02-01
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Online Access: | http://www.mdpi.com/1424-8220/18/2/546 |
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author | Xingpo Ma Junbin Liang Renping Liu Wei Ni Yin Li Ran Li Wenpeng Ma Chuanda Qi |
author_facet | Xingpo Ma Junbin Liang Renping Liu Wei Ni Yin Li Ran Li Wenpeng Ma Chuanda Qi |
author_sort | Xingpo Ma |
collection | DOAJ |
description | 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. |
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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-12-10T06:49:37Z |
publishDate | 2018-02-01 |
publisher | MDPI AG |
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spelling | doaj.art-06f412c348c44924856caf708f73a0842022-12-22T01:58:35ZengMDPI AGSensors1424-82202018-02-0118254610.3390/s18020546s18020546A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing SystemsXingpo Ma0Junbin Liang1Renping Liu2Wei Ni3Yin Li4Ran Li5Wenpeng Ma6Chuanda Qi7School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, ChinaSchool of Computer and Electronic Information, Guangxi University, Nanning 530004, ChinaGlobal Big Data Technologies Centre, University of Technology Sydney, Ultimo 2007, AustraliaData61, CSIRO, Sydney NSW 1466, AustraliaSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, ChinaSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, ChinaSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, ChinaSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, ChinaIn 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.http://www.mdpi.com/1424-8220/18/2/546Internet of ThingsEdge computingWSANsdata storageinformation discovery |
spellingShingle | Xingpo Ma Junbin Liang Renping Liu Wei Ni Yin Li Ran Li Wenpeng Ma Chuanda Qi A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems Sensors Internet of Things Edge computing WSANs data storage information discovery |
title | A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems |
title_full | A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems |
title_fullStr | A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems |
title_full_unstemmed | A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems |
title_short | A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems |
title_sort | survey on data storage and information discovery in the wsans based edge computing systems |
topic | Internet of Things Edge computing WSANs data storage information discovery |
url | http://www.mdpi.com/1424-8220/18/2/546 |
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