Evidence map›Paper›PMID 29439442›Full record

ArticleSensors (Basel, Switzerland)2018

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

Xingpo Ma, Junbin Liang, Renping Liu, Wei Ni, Yin Li, Ran Li, Wenpeng Ma, Chuanda Qi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xingpo MaSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China. maxingpo@xynu.edu.cn.
Junbin LiangSchool of Computer and Electronic Information, Guangxi University, Nanning 530004, China. liangjb@gxu.edu.cn.
Renping LiuGlobal Big Data Technologies Centre, University of Technology Sydney, Ultimo 2007, Australia. RenPing.Liu@uts.edu.au.
Wei NiData61, CSIRO, Sydney NSW 1466, Australia. Wei.Ni@data61.csiro.au.
Yin LiSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China. yunfeiyangli@gmail.com.
Ran LiSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China. liran@xynu.edu.cn.
Wenpeng MaSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China. markwinpe@gmail.com.
Chuanda QiSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China. qichuanda@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 are 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.

Indexed as

data storageEdge computinginformation discoveryInternet of ThingsWSANs

Identifiers

PMID29439442
PMCPMC5855944

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.