Staff View: An analytical survey of WSNs integration with cloud and fog computing

An analytical survey of WSNs integration with cloud and fog computing

Wireless sensor networks (WSNs) are spatially scattered networks equipped with an extensive number of nodes to check and record different ecological states such as humidity, temperature, pressure, and lightning states. WSN network provides different services to a client such as monitoring, detection...

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Main Authors:	Qaisar Shaheen, Muhammad Shiraz, Shariq Aziz Butt, Abdullah Gani, Muazzam A. Khan
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute (MDPI) 2021
Subjects:	QA75.5-76.95 Electronic computers. Computer science TK7885-7895 Computer engineering. Computer hardware
Online Access:	https://eprints.ums.edu.my/id/eprint/42498/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/42498/ https://doi.org/10.3390/electronics10212625
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id	my.ums.eprints.42498
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spelling	my.ums.eprints.424982024-12-31T03:19:44Z https://eprints.ums.edu.my/id/eprint/42498/ An analytical survey of WSNs integration with cloud and fog computing Qaisar Shaheen Muhammad Shiraz Shariq Aziz Butt Abdullah Gani Muazzam A. Khan QA75.5-76.95 Electronic computers. Computer science TK7885-7895 Computer engineering. Computer hardware Wireless sensor networks (WSNs) are spatially scattered networks equipped with an extensive number of nodes to check and record different ecological states such as humidity, temperature, pressure, and lightning states. WSN network provides different services to a client such as monitoring, detection, and runtime decision-making against events occurrence. However, the WSN network still has some limitations in computing power, storage resources, and battery life, which make the network is restricted for data transformation. It is due to less supportive battery power, and limited memory of nodes. The integration of WSN and cloud offers an open, adaptable, and more reconfigurable stage for different security checks and regulating requirements. In this paper, we discovered how WSN and cloud computing (CC) are integrated and help to accomplish different goals. Additionally, a comprehensive study about procedures and issues for an effective combination of WSN-CC is presented. This work also presents the work proposed by the research community for WSN-CC. Besides, we explored the integration of WSN/IoT with Fog computing (FC). Based on investigations, WSN integration with Fog computing (FC) has many benefits with respect to latency, energy consumption, data processing, and real-time data streaming. FC is not a substitute for distributed computing, so far it is utilized to improve the productivity of the sensor. Multidisciplinary Digital Publishing Institute (MDPI) 2021 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42498/1/FULL%20TEXT.pdf Qaisar Shaheen and Muhammad Shiraz and Shariq Aziz Butt and Abdullah Gani and Muazzam A. Khan (2021) An analytical survey of WSNs integration with cloud and fog computing. Electronics, 10. pp. 1-18. https://doi.org/10.3390/electronics10212625
institution	Universiti Malaysia Sabah
building	UMS Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sabah
content_source	UMS Institutional Repository
url_provider	http://eprints.ums.edu.my/
language	English
topic	QA75.5-76.95 Electronic computers. Computer science TK7885-7895 Computer engineering. Computer hardware
spellingShingle	QA75.5-76.95 Electronic computers. Computer science TK7885-7895 Computer engineering. Computer hardware Qaisar Shaheen Muhammad Shiraz Shariq Aziz Butt Abdullah Gani Muazzam A. Khan An analytical survey of WSNs integration with cloud and fog computing
description	Wireless sensor networks (WSNs) are spatially scattered networks equipped with an extensive number of nodes to check and record different ecological states such as humidity, temperature, pressure, and lightning states. WSN network provides different services to a client such as monitoring, detection, and runtime decision-making against events occurrence. However, the WSN network still has some limitations in computing power, storage resources, and battery life, which make the network is restricted for data transformation. It is due to less supportive battery power, and limited memory of nodes. The integration of WSN and cloud offers an open, adaptable, and more reconfigurable stage for different security checks and regulating requirements. In this paper, we discovered how WSN and cloud computing (CC) are integrated and help to accomplish different goals. Additionally, a comprehensive study about procedures and issues for an effective combination of WSN-CC is presented. This work also presents the work proposed by the research community for WSN-CC. Besides, we explored the integration of WSN/IoT with Fog computing (FC). Based on investigations, WSN integration with Fog computing (FC) has many benefits with respect to latency, energy consumption, data processing, and real-time data streaming. FC is not a substitute for distributed computing, so far it is utilized to improve the productivity of the sensor.
format	Article
author	Qaisar Shaheen Muhammad Shiraz Shariq Aziz Butt Abdullah Gani Muazzam A. Khan
author_facet	Qaisar Shaheen Muhammad Shiraz Shariq Aziz Butt Abdullah Gani Muazzam A. Khan
author_sort	Qaisar Shaheen
title	An analytical survey of WSNs integration with cloud and fog computing
title_short	An analytical survey of WSNs integration with cloud and fog computing
title_full	An analytical survey of WSNs integration with cloud and fog computing
title_fullStr	An analytical survey of WSNs integration with cloud and fog computing
title_full_unstemmed	An analytical survey of WSNs integration with cloud and fog computing
title_sort	analytical survey of wsns integration with cloud and fog computing
publisher	Multidisciplinary Digital Publishing Institute (MDPI)
publishDate	2021
url	https://eprints.ums.edu.my/id/eprint/42498/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/42498/ https://doi.org/10.3390/electronics10212625
_version_	1821003225512280064
score	13.226497

An analytical survey of WSNs integration with cloud and fog computing

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