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

Abstract

This paper presents a holistic reliability evaluation 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 realworld 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 environmental 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.