Sensor cloud frameworks: State-of-the-art, taxonomy, and research issues

In recent times, Wireless Sensor Network (WSN) technology has received significant attention owing to its numerous applications in various mission critical services, such as healthcare, military monitoring, public safety systems, and forest monitoring. However, sensor node's low computational p...

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Main Authors: Haseeb-Ur-Rehman, Rana M. Abdul, Liaqat, Misbah, Aman, Azana Hafizah Mohd, Hamid, Siti Hafizah Ab, Ali, Rana Liaqat, Shuja, Junaid, Khan, Muhammad Khurram
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Published: 2021
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Online Access:http://eprints.um.edu.my/26213/
https://doi.org/10.1109/JSEN.2021.3090967
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spelling my.um.eprints.262132022-02-18T02:07:33Z http://eprints.um.edu.my/26213/ Sensor cloud frameworks: State-of-the-art, taxonomy, and research issues Haseeb-Ur-Rehman, Rana M. Abdul Liaqat, Misbah Aman, Azana Hafizah Mohd Hamid, Siti Hafizah Ab Ali, Rana Liaqat Shuja, Junaid Khan, Muhammad Khurram QA75 Electronic computers. Computer science In recent times, Wireless Sensor Network (WSN) technology has received significant attention owing to its numerous applications in various mission critical services, such as healthcare, military monitoring, public safety systems, and forest monitoring. However, sensor node's low computational power and inadequate advancements in battery design hinder resource-rigorous applications from fully exploiting WSN capabilities. The trend of shifting computations and storage to remote clouds offers the opportunity to integrate WSNs into the cloud to mitigate their limitations. The Sensor Cloud augments WSN capabilities of remote sensing and monitoring while exploiting resource-rich cloud infrastructure. To date, numerous solutions have been proposed to handle the integration concerns of WSNs with the cloud. However, a comprehensive study that covers various Sensor Cloud aspects in terms of architecture, network dynamics, heterogeneity, communication patterns, data management, and security, is still lacking. To fill this gap, state-of-the-art sensor cloud integration frameworks are analyzed in this article. Moreover, a detailed thematic taxonomy is presented to classify existing sensor cloud frameworks while focusing in service oriented and client server architectures. Related features and critical aspects of existing frameworks are inspected through a qualitative analysis based on the parameters selected from the literature and extracted from the taxonomy. Several research opportunities in this research domain are suggested to assist researchers in identifying and designing optimal resource sensor cloud integration frameworks to host emerging applications. 2021 Article PeerReviewed Haseeb-Ur-Rehman, Rana M. Abdul and Liaqat, Misbah and Aman, Azana Hafizah Mohd and Hamid, Siti Hafizah Ab and Ali, Rana Liaqat and Shuja, Junaid and Khan, Muhammad Khurram (2021) Sensor cloud frameworks: State-of-the-art, taxonomy, and research issues. IEEE Sensors Journal, 21 (20). pp. 22347-22370. ISSN 1530-437X, DOI https://doi.org/10.1109/JSEN.2021.3090967 <https://doi.org/10.1109/JSEN.2021.3090967>. https://doi.org/10.1109/JSEN.2021.3090967 doi:10.1109/JSEN.2021.3090967
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Haseeb-Ur-Rehman, Rana M. Abdul
Liaqat, Misbah
Aman, Azana Hafizah Mohd
Hamid, Siti Hafizah Ab
Ali, Rana Liaqat
Shuja, Junaid
Khan, Muhammad Khurram
Sensor cloud frameworks: State-of-the-art, taxonomy, and research issues
description In recent times, Wireless Sensor Network (WSN) technology has received significant attention owing to its numerous applications in various mission critical services, such as healthcare, military monitoring, public safety systems, and forest monitoring. However, sensor node's low computational power and inadequate advancements in battery design hinder resource-rigorous applications from fully exploiting WSN capabilities. The trend of shifting computations and storage to remote clouds offers the opportunity to integrate WSNs into the cloud to mitigate their limitations. The Sensor Cloud augments WSN capabilities of remote sensing and monitoring while exploiting resource-rich cloud infrastructure. To date, numerous solutions have been proposed to handle the integration concerns of WSNs with the cloud. However, a comprehensive study that covers various Sensor Cloud aspects in terms of architecture, network dynamics, heterogeneity, communication patterns, data management, and security, is still lacking. To fill this gap, state-of-the-art sensor cloud integration frameworks are analyzed in this article. Moreover, a detailed thematic taxonomy is presented to classify existing sensor cloud frameworks while focusing in service oriented and client server architectures. Related features and critical aspects of existing frameworks are inspected through a qualitative analysis based on the parameters selected from the literature and extracted from the taxonomy. Several research opportunities in this research domain are suggested to assist researchers in identifying and designing optimal resource sensor cloud integration frameworks to host emerging applications.
format Article
author Haseeb-Ur-Rehman, Rana M. Abdul
Liaqat, Misbah
Aman, Azana Hafizah Mohd
Hamid, Siti Hafizah Ab
Ali, Rana Liaqat
Shuja, Junaid
Khan, Muhammad Khurram
author_facet Haseeb-Ur-Rehman, Rana M. Abdul
Liaqat, Misbah
Aman, Azana Hafizah Mohd
Hamid, Siti Hafizah Ab
Ali, Rana Liaqat
Shuja, Junaid
Khan, Muhammad Khurram
author_sort Haseeb-Ur-Rehman, Rana M. Abdul
title Sensor cloud frameworks: State-of-the-art, taxonomy, and research issues
title_short Sensor cloud frameworks: State-of-the-art, taxonomy, and research issues
title_full Sensor cloud frameworks: State-of-the-art, taxonomy, and research issues
title_fullStr Sensor cloud frameworks: State-of-the-art, taxonomy, and research issues
title_full_unstemmed Sensor cloud frameworks: State-of-the-art, taxonomy, and research issues
title_sort sensor cloud frameworks: state-of-the-art, taxonomy, and research issues
publishDate 2021
url http://eprints.um.edu.my/26213/
https://doi.org/10.1109/JSEN.2021.3090967
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score 13.209306