Enhancing Fault Tolerance in IOT Sensor Networks Using Embedded Raspberry Pi-Based Systems

Internet of Things (IOT) networks consist of a collection of embedded systems such as Raspberry Pi and sensors that are used to cover a specific area for managing, detecting, warning, decision-making, and execution based on the tasks of the sensors. Key points that need to be considered in this context include detecting the health and performance of objects, communications, identifying factors affecting the energy consumption of autonomous systems, identifying the performance of wireless sensor networks, and providing appropriate solutions for optimally covering the area under (IOT) coverage using Raspberry Pi’s. Additionally, it is crucial to issue commands to the sensors in a way that no area remains uncovered and to evaluate the coverage quality of the new network. Various algorithms have been proposed to facilitate these challenges, and this thesis presents, integrates, and synthesizes three algorithms, each of which performs well specifically under normal, semi-critical, and critical conditions. The goal of this research is to provide a comprehensive and optimized solution for managing and enhancing fault tolerance in the data communication of wireless (IOT) networks. One of the preferred technologies in this regard is the use of autonomous systems like Raspberry Pi to implement algorithms such as hierarchical clustering, which, through collaboration between cluster head nodes, results in energy savings and optimized fault tolerance. Therefore, the calculation, implementation, comparison, and output results of this plan will also be presented in detail

کلیدواژه ها:

Internet of Things ، fault tolerance management ، Raspberry Pi embedded systems ، hierarchical clustering ، coverage algorithm