Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences

Data collection is an essential part of sensor devices, particularly in such technologies like Internet of Things (IoT), wireless sensor networks (WSN), and sensor cloud (SC). In recent years, various literature had been published in these research areas to propose different models, architectures, a...

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Main Authors: Ihsan Ali, Ismail Ahmedy, Abdullah Gani, Muhammad Umair Munir, Mohammad Hossein Anisi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9740691/
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author Ihsan Ali
Ismail Ahmedy
Abdullah Gani
Muhammad Umair Munir
Mohammad Hossein Anisi
author_facet Ihsan Ali
Ismail Ahmedy
Abdullah Gani
Muhammad Umair Munir
Mohammad Hossein Anisi
author_sort Ihsan Ali
collection DOAJ
description Data collection is an essential part of sensor devices, particularly in such technologies like Internet of Things (IoT), wireless sensor networks (WSN), and sensor cloud (SC). In recent years, various literature had been published in these research areas to propose different models, architectures, and contributions in the domains. Due to the importance of efficient data collection regarding reducing energy consumption, latency, network lifetime, and general cost, a momentous literature volume has been published to facilitate data collection. Hence, review studies have been conducted on data collection in these domains in isolation. However, a lack of comprehensive review collectively identifies and analyzes the differences and similarities among the data collection proposals in IoT, WSN, and SC. The main objective of this research is to conduct a comprehensive survey to explore the current state, use cases, contributions, performance measures, evaluation measures, and architecture in the IoT, WSN, and SC research domains. The findings indicate that studies on data collection in IoT, WSN, and SC are relatively consistent with stable output in the last five years. Nine novel contributions are found with models, algorithms, and frameworks being the most utilized by the selected studies. In conclusion, key research challenges and future research directions have been identified and discussed.
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spelling doaj-art-c283dc144b774f3e9f5a64e1eef45c252025-08-20T02:59:49ZengIEEEIEEE Access2169-35362022-01-0110339093393110.1109/ACCESS.2022.31619299740691Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and DifferencesIhsan Ali0https://orcid.org/0000-0002-9549-2540Ismail Ahmedy1https://orcid.org/0000-0003-4324-8965Abdullah Gani2https://orcid.org/0000-0002-4388-020XMuhammad Umair Munir3https://orcid.org/0000-0001-5651-7795Mohammad Hossein Anisi4https://orcid.org/0000-0001-8414-2708Department of Information Systems, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, MalaysiaDepartment of Information Systems, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, MalaysiaDepartment of Information Systems, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, MalaysiaDepartment of Information Systems, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, MalaysiaSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K.Data collection is an essential part of sensor devices, particularly in such technologies like Internet of Things (IoT), wireless sensor networks (WSN), and sensor cloud (SC). In recent years, various literature had been published in these research areas to propose different models, architectures, and contributions in the domains. Due to the importance of efficient data collection regarding reducing energy consumption, latency, network lifetime, and general cost, a momentous literature volume has been published to facilitate data collection. Hence, review studies have been conducted on data collection in these domains in isolation. However, a lack of comprehensive review collectively identifies and analyzes the differences and similarities among the data collection proposals in IoT, WSN, and SC. The main objective of this research is to conduct a comprehensive survey to explore the current state, use cases, contributions, performance measures, evaluation measures, and architecture in the IoT, WSN, and SC research domains. The findings indicate that studies on data collection in IoT, WSN, and SC are relatively consistent with stable output in the last five years. Nine novel contributions are found with models, algorithms, and frameworks being the most utilized by the selected studies. In conclusion, key research challenges and future research directions have been identified and discussed.https://ieeexplore.ieee.org/document/9740691/Data collection in sensor cloud (SC)data collection in wireless sensor networks (WSNs)data collection in Internet of Things (IoT)sensor cloudsimilarity and differencearchitecture
spellingShingle Ihsan Ali
Ismail Ahmedy
Abdullah Gani
Muhammad Umair Munir
Mohammad Hossein Anisi
Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences
IEEE Access
Data collection in sensor cloud (SC)
data collection in wireless sensor networks (WSNs)
data collection in Internet of Things (IoT)
sensor cloud
similarity and difference
architecture
title Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences
title_full Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences
title_fullStr Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences
title_full_unstemmed Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences
title_short Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences
title_sort data collection in studies on internet of things iot wireless sensor networks wsns and sensor cloud sc similarities and differences
topic Data collection in sensor cloud (SC)
data collection in wireless sensor networks (WSNs)
data collection in Internet of Things (IoT)
sensor cloud
similarity and difference
architecture
url https://ieeexplore.ieee.org/document/9740691/
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