Reliability Evaluation Framework for Centralized Agricultural Internet of Things (Agri-IoT)

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.

@article{Thiam2024,
  title     = {Reliability Evaluation Framework for Centralized Agricultural Internet of Things (Agri-IoT)},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {1},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Fatoumata Thiam and Maissa Mbaye and Maya Flores and Alexander Wyglinski},
  doi       = {10.14569/IJACSA.2024.0150101},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150101}
}