Version 1
: Received: 15 January 2024 / Approved: 15 January 2024 / Online: 15 January 2024 (16:31:45 CET)
How to cite:
Benhoussa, S.; De Sousa, G.; Chanet, J. A Data-Driven Approach to Assess and Improve the Quality Of Information Service in Wireless Sensor Networks: A Survey. Preprints2024, 2024011144. https://doi.org/10.20944/preprints202401.1144.v1
Benhoussa, S.; De Sousa, G.; Chanet, J. A Data-Driven Approach to Assess and Improve the Quality Of Information Service in Wireless Sensor Networks: A Survey. Preprints 2024, 2024011144. https://doi.org/10.20944/preprints202401.1144.v1
Benhoussa, S.; De Sousa, G.; Chanet, J. A Data-Driven Approach to Assess and Improve the Quality Of Information Service in Wireless Sensor Networks: A Survey. Preprints2024, 2024011144. https://doi.org/10.20944/preprints202401.1144.v1
APA Style
Benhoussa, S., De Sousa, G., & Chanet, J. (2024). A Data-Driven Approach to Assess and Improve the Quality Of Information Service in Wireless Sensor Networks: A Survey. Preprints. https://doi.org/10.20944/preprints202401.1144.v1
Chicago/Turabian Style
Benhoussa, S., Gil De Sousa and Jean-Pierre Chanet. 2024 "A Data-Driven Approach to Assess and Improve the Quality Of Information Service in Wireless Sensor Networks: A Survey" Preprints. https://doi.org/10.20944/preprints202401.1144.v1
Abstract
One of the challenges of deploying Wireless Sensor Networks (WSN)
at large scale is to operate for prolonged periods of time relying on the limited amounts
of energy stored in its nodes. Generally, data communication is the main factor of draining energy.
Consequently, reducing the amount of transmitted data by the nodes is of
great interest. At the same time, reducing data to be transmitted
should not decrease the quality of the deduced information. Solving this problematic is what we call
in this article "Ensuring the Quality of Information Service (QoIS)". This
document provides a state-of-the-art for the QoIS
regarding WSNs. At first, we
give a quick overview of the Internet of Things (IoT) paradigm
and the WSN technologies in order to understand how data is
gathered and used in these networks. Also, we introduce a novel concept: QoIS, in contrast with classic QoS. Then, it is expected
a summary of criteria that asses the QoIS in WSNs plus some techniques to improve it. In this article, we will focus
on data management techniques. These techniques can improve raw data, information and/or knowledge quality in energy-constrained WSNs. Finally, we give some conclusions and a glimpse about our future work.
Keywords
Internet of Thing; Wireless Sensor Networks; Quality of Service; Quality of Information; Data Reduction; Data Quality; Energy Efficiency
Subject
Computer Science and Mathematics, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
