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DOI: 10.14569/IJACSA.2020.0110278

A Review of Data Gathering Algorithms for Real-Time Processing in Internet of Things Environment

Author 1: Atheer A. Kadhim
Author 2: Norfaradilla Wahid

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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 2, 2020.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Today, Wireless Sensor Network (WSN) has become an enabler technology for the Internet of Things (IoT) applications. The emergence of various applications has then enabled the need for robust and efficient data collection and transfer algorithms. This paper presents a comprehensive review for the existing data gathering algorithms and the technologies adopted for that applications. After reviewing the algorithms and the challenges related to them, which extend the physical reach of the monitoring capability; they possess several constraints such as limited energy availability, low memory size, and low processing speed, which are the principal obstacles to designing efficient management protocols for WSN-IoT integration.

Keywords: Internet of Things (IoT); Wireless Sensor Network (WSN) and Data Gathering; Virtual Machine (VM); Virtualization Cloud (VC); Data Reduction (DR); Access point (AP); Mobile Ad hoc Network (MANET)

Atheer A. Kadhim and Norfaradilla Wahid, “A Review of Data Gathering Algorithms for Real-Time Processing in Internet of Things Environment” International Journal of Advanced Computer Science and Applications(IJACSA), 11(2), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110278

@article{Kadhim2020,
title = {A Review of Data Gathering Algorithms for Real-Time Processing in Internet of Things Environment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110278},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110278},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {2},
author = {Atheer A. Kadhim and Norfaradilla Wahid}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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