Artificial Intelligence for IoT: Edge Computing, Security, and Applications

The Internet of Things (IoT) has emerged as a fundamental component of the digital era, enabling seamless interconnectivity between billions of smart devices. By integrating physical and virtual entities, IoT extends the boundaries of technological ecosystems, generating vast amounts of real-time data. The efficient processing and analysis of this data are crucial for advancing IoT applications across various domains. This survey provides a comprehensive review of the current state of IoT, exploring its fundamental concepts, key applications including smart healthcare, smart homes, intelligent transportation, and industrial automation and the underlying enabling technologies. Additionally, it examines critical challenges such as security, privacy, and scalability, alongside emerging solutions leveraging Artificial Intelligence (AI) and Deep Learning to enhance IoT capabilities. By synthesizing existing research, this paper highlights prevailing trends, identifies open challenges, and outlines potential directions for future development. The insights presented aim to foster a deeper understanding of IoT's transformative potential and its convergence with next-generation technologies.

Keywords:

Internet of Things , Security in IoT , Edge Computing , Artificial Intelligence , IoT Applications