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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2021
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oai:doaj.org-article:e182d60200c543059e2806dfdcbde5b62021-11-11T15:38:37ZAn Analytical Survey of WSNs Integration with Cloud and Fog Computing10.3390/electronics102126252079-9292https://doaj.org/article/e182d60200c543059e2806dfdcbde5b62021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2625https://doaj.org/toc/2079-9292Wireless 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.Qaisar ShaheenMuhammad ShirazShariq Aziz ButtAbdullah GaniMuazzam A. KhanMDPI AGarticlefog computingcloud computingWSN to fogWSN to cloudElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2625, p 2625 (2021) |
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fog computing cloud computing WSN to fog WSN to cloud Electronics TK7800-8360 |
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fog computing cloud computing WSN to fog WSN to cloud Electronics TK7800-8360 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 |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/e182d60200c543059e2806dfdcbde5b6 |
work_keys_str_mv |
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