Proposing a Reliable and Fault-Tolerant Routing Algorithm for IoT Sensor Networks Using Poisson Distribution

Wireless sensor networks are a crucial component of any Internet of Things (IoT)-based system. Fault tolerance in wireless sensor networks equipped with IoT is essential to avoid detrimental actions. Numerous approaches in the literature focus on fault detection and tolerance for these networks. However, these methods often consume more energy to identify and tolerate failures or utilize additional hardware and software resources. Despite the promise of IoT, awareness of network reliability remains a significant challenge. Broken links and faulty nodes can severely affect the reliability of IoT-enabled networks, hindering seamless communications and data exchanges. In this paper, we introduce a novel fault-tolerant routing algorithm for IoT sensor networks, which leverages Poisson distribution for modeling failure rates. Unlike existing approaches, our method incorporates active clustering and resource prioritization based on reliability thresholds, ensuring enhanced fault detection accuracy and extended network longevity. The aim of this approach is to enhance the true positive rate, false alarm rate, fault detection accuracy, energy consumption, detection precision, and overall network longevity. We implemented and evaluated both the proposed method and the baseline method in a MATLAB environment. Simulation results indicate that the proposed method outperforms the baseline approach.