Ali, Ihsan and Gani, Abdullah and Yaqoob, Ibrar and Khan, Suleman and Anisi, Mohammad Hossein (2018) Data Collection in Smart Communities Using Sensor Cloud: Recent Advances, Taxonomy, and Future Research Directions. IEEE Communications Magazine, 56 (7). pp. 192-197. DOI https://doi.org/10.1109/MCOM.2017.1700549
Ali, Ihsan and Gani, Abdullah and Yaqoob, Ibrar and Khan, Suleman and Anisi, Mohammad Hossein (2018) Data Collection in Smart Communities Using Sensor Cloud: Recent Advances, Taxonomy, and Future Research Directions. IEEE Communications Magazine, 56 (7). pp. 192-197. DOI https://doi.org/10.1109/MCOM.2017.1700549
Ali, Ihsan and Gani, Abdullah and Yaqoob, Ibrar and Khan, Suleman and Anisi, Mohammad Hossein (2018) Data Collection in Smart Communities Using Sensor Cloud: Recent Advances, Taxonomy, and Future Research Directions. IEEE Communications Magazine, 56 (7). pp. 192-197. DOI https://doi.org/10.1109/MCOM.2017.1700549
Abstract
The remarkable miniaturization of sensors has led to the production of massive amounts of data in smart communities. These data cannot be efficiently collected and processed in WSNs due to the weak communication capability of these networks. This drawback can be compensated for by amalgamating WSNs and cloud computing to obtain sensor clouds. In this article, we investigate, highlight, and report recent premier advances in sensor clouds with respect to data collection. We categorize and classify the literature by devising a taxonomy based on important parameters, such as objectives, applications, communication technology, collection types, discovery, data types, and classification. Moreover, a few prominent use cases are presented to highlight the role of sensor clouds in providing high computation capabilities. Furthermore, several open research challenges and issues, such as big data issues, deployment issues, data security, data aggregation, dissemination of control message, and on time delivery are discussed. Future research directions are also provided.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 22 Aug 2018 13:21 |
Last Modified: | 30 Oct 2024 17:38 |
URI: | http://repository.essex.ac.uk/id/eprint/22779 |
Available files
Filename: CommunicationsMag.pdf