Data Collection in Sensor-Cloud: A Systematic Literature Review

Ihsan Ali,Abdullah Gani,Mohammad Hossein Anisi,Muhammad Ahsan Raza,Ismail Ahmedy,Muhammad Talha

doi:10.1109/access.2020.3029597

Abstract

The integration of cloud computing and Wireless Sensor Networks (WSNs) to create Sensor-cloud 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.

Highlights

Recently,Wireless Sensor Networks (WSNs) were mostly deployed in many applications, such as forest fire detection [1], agriculture [2], health monitoring [3], and so on
Throughout the years, we have seen an increased interest from researchers, from 2016 – 2020. This can be explained by acknowledging the build-up that occurs from 2012 to 2015 where a stable number of studies have been published, with 11 key studies published in those years
We have seen an increased interest from researchers, from 2016–2020

Summary

Introduction

Recently,Wireless Sensor Networks (WSNs) were mostly deployed in many applications, such as forest fire detection [1], agriculture [2], health monitoring [3], and so on. WSNs used for these applications normally generate a vast amount of data that necessitates to be collected and processed in a minimal time period with relatively low delay. Computing capability and storage capability to support huge data transmission and processing. This constraint frequently leads to a small network lifetime. The data processing and storage abilities of WSNs can be extended using cloud computing [4]. The last 10 years have seen quite a number of works on data collection in Sensor-cloud by proposing different solutions on ways to enhance the efficiency and

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Discussion

Conclusion