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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 1, 2024.
Abstract: This paper presents a holistic reliability evalua-tion framework for Agri-IoT based on real-world testbed and mathematical modeling of network failure prediction. A testbed has been designed, implemented, and deployed in the real-world in the experimental farm at Saint-Louis/Senegal as a representative area of Sahel conditions. Data collected has been used for real-world reliability analysis and to feed mathematical modeling of network reliability based on energy and environ-mental conditions data with Kaplan Meier and Nelson Aalen estimators. Key factors affecting the network’s lifespan, such as network coverage and density, are explored, along with a comprehensive evaluation of energy consumption to understand node discharge rates impact. The survival analysis, employing Kaplan-Meier and Nelson-Aalen estimators, establishes network stability and the probability of node survival over time. The findings contribute to the understanding of Agri-IoT reliability in a real-world Sahel environment, offering practical insights for system optimization and environmental challenge mitigation in real-world deployments.
Fatoumata Thiam, Maissa Mbaye, Maya Flores and Alexander Wyglinski, “Reliability Evaluation Framework for Centralized Agricultural Internet of Things (Agri-IoT)” International Journal of Advanced Computer Science and Applications(IJACSA), 15(1), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150101
@article{Thiam2024,
title = {Reliability Evaluation Framework for Centralized Agricultural Internet of Things (Agri-IoT)},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150101},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150101},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {1},
author = {Fatoumata Thiam and Maissa Mbaye and Maya Flores and Alexander Wyglinski}
}
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.