WSN and Fog Computing Integration for Intelligent Data Processing

Mihai, Viorel; Hanganu, Cristina Elena; Stâmâtescu, Grigore; Popescu, Dan

doi:10.1109/ecai.2018.8679064

Cited by 12 publications

(8 citation statements)

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“…Mihai et al proposed a three-layer topology for smart data monitoring and processing. The aim of the topology is to lessen the sending of raw data to the cloud, hence, to improve the ratio between useful information and noise [44]. The simulation result shows some improvement.…”

Section: B Rq2:what Are the Contributions Been Proposed By The Selecmentioning

confidence: 97%

Data Collection in Sensor-Cloud: A Systematic Literature Review

et al. 2020

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The integration of cloud computing and Wireless Sensor Networks (WSNs) to create Sensorcloud helps in extending the data processing capability and storage capability of WSNs. Knowing how weak WSNs are with regards to communication ability, how to collect and upload sensory data to the cloud in limited time has become an issue in Sensor-cloud. In the last decade, with increasing interest by researchers in the domain, a considerable amount of research works have been conducted and published in the research domain. The main objective of this study is to systematically review the current research on data collection in Sensor-cloud. Hence, the study also aims at identifying, categorizing, and synthesizing important studies in the field of study. Accordingly, an evidence-based methodology is utilized in this study. By doing so,43 relevant studies were identified and retrieved to answer the formulated research questions. The systematic methodology offers a methodical and rigorous study selection and evaluation process that is repeatable and precise. The result shows that research on data collection in Sensor-cloud is relatively consistent with stable output in the last five years. Ten proposal contributions were identified with System, Framework, and Algorithm being the most used by the selected studies. In conclusion, key research challenges and future research directions were identified and discussed for researchers to propose effective solutions to the existing challenges. Although research on data collection in Sensor-cloud is gaining some traction in recent years, the works in the domain are not sufficient and concrete proposals are needed to improve data collection.

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Section: B Rq2:what Are the Contributions Been Proposed By The Selecmentioning

confidence: 97%

Data Collection in Sensor-Cloud: A Systematic Literature Review

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Mihai et al proposed a three-layer topology for smart data monitoring and processing. The aim of the topology is to lessen the sending of raw data to the cloud, hence, to improve the ratio between useful information and noise [43]. The simulation result shows some improvement.…”

Section: B Rq2:what Are the Contributions Been Proposed By The Selecmentioning

confidence: 97%

Data Collection in Sensor-Cloud: A Systematic Literature Review

Ali¹

2020

Preprint

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“…The concept of fog computing was introduced to solve a latency problem, but at the same time it added a burden on designing systems to use the available resources [3]. Hence, the concept of Mist computing was introduced to bring computing closer to IoT devices, which increases the response speed of IoT applications [4,5]. Figure 1 illustrates these computing hierarchy that must be used to increase the efficiency of IoT Applications.…”

Section: Introductionmentioning

confidence: 99%