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Abstract
IoT platforms act as technological frameworks that provide the foundation for connecting and managing Internet of Things devices and applications. These platforms offer a wide range of services and tools that streamline the development, deployment, and operation of IoT solutions. They enable seamless integration and communication between IoT devices, facilitate data collection and analysis, provide device management capabilities, and facilitate the creation of IoT applications. By offering a centralized and scalable infrastructure, IoT platforms play a crucial role in empowering organizations and developers to fully harness the potential of the IoT, leading to the creation of innovative and efficient IoT solutions. Research dedicated to “the selection of IoT platforms plays a crucial role in the industry”. “With the increasing number of IoT applications”, the importance of making the right platform choice becomes critical for successful implementation.
The research provides valuable insights that aid organizations and developers “in making informed decisions when selecting an IoT platform that aligns with their specific requirements”. By leveraging this knowledge, stakeholders can ensure that they choose the most suitable platform to meet their needs effectively. “The objective of this research paper is to tackle the evaluation of IoT platforms” by approaching it as a problem of multicriteria decision making (MCDM) due to its complexity involving multiple factors. To accomplish this goal, the research develops a system for creating evaluation criteria, facilitating the comprehensive assessment of IoT platforms. In the ranking based on the COPRAS method, Google Cloud IoT emerged as the top-ranked platform, demonstrating its superior performance and highest utility. Amazon AWS IoT Core closely followed in the second position, showcasing its strong performance and positive attributes.
Microsoft Azure IoT Hub secured the third rank, highlighting its competitive performance compared to other platforms. ThingWorx obtained the fourth rank, indicating its relatively good performance according to the COPRAS method. Particle ranked fifth, positioning its performance in the middle range among the evaluated platforms. Oracle IoT obtained the sixth rank, suggesting its performance was relatively lower compared to other platforms. IBM Watson IoT received the seventh rank, indicating its relatively weaker performance in the evaluation. These rankings offer valuable insights for decision-making and platform selection, enabling stakeholders to evaluate the overall performance and relative positions of the IoT platforms based on the COPRAS method.
