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Call for AI for IoT Articles

The IEEE Internet of Things Magazine (IEEE IoTM) is soliciting articles for its mini-series on “AI for IoT”. The proliferation of IoT devices and sensors, coupled with advancements in AI algorithms and computing technologies, has paved the way for a new era of intelligent IoT systems. AI techniques are increasingly integrated into IoT architectures to enable advanced analytics, autonomous decision-making, and adaptive behaviors. From smart homes and cities to industrial automation and healthcare, AI-powered IoT solutions are revolutionizing the way we interact with and leverage data from connected devices, driving innovation, efficiency, and sustainability. This mini-series aims to explore the intersection of AI and IoT, covering cutting-edge research, real-world applications, and best practices in leveraging AI to enhance IoT systems and services.

Articles for this mini-series are invited to cover a wide range of topics, including but not limited to:

  • AI-enabled IoT Applications and Use Cases: Explore innovative applications and use cases where AI enhances IoT functionalities and capabilities, spanning smart healthcare, intelligent transportation, precision agriculture, industrial automation, environmental monitoring, and more.
  • AI-driven Data Analytics and Decision-making: Investigate AI techniques for processing, analyzing, and deriving actionable insights from IoT-generated data streams, enabling predictive maintenance, anomaly detection, personalized recommendations, and intelligent automation.
  • Generative AI and Large Language Models (LLMs) for IoT: Study the applications of generative AI in IoT environments; explore how LLMs, such as generative pre-trained transformer (GPT) models, can be utilized to generate synthetic data, enhance natural language understanding, and support human-machine interaction in IoT systems.
  • Edge AI and Distributed Intelligence: Discuss the integration of AI algorithms and models at the edge of IoT networks, enabling real-time inference, adaptive learning, and autonomous decision-making closer to data sources, and minimizing latency and bandwidth requirements.
  • AI-empowered Robotics and Sensing for IoT: Explore the integration of AI with robotics and sensing technologies in IoT systems. Introduce advancements in sensor technologies and data fusion techniques that enable intelligent data collection, processing, and analysis in dynamic environments.
  • Privacy, Security, and Trustworthiness: Address the privacy and security implications of AI-enabled IoT systems, including data privacy, confidentiality, integrity, and authenticity. Investigate trustworthiness in AI-enabled IoT systems, emphasizing the need for reliability, transparency, explainability, accountability, and fairness.
  • Standardization and Interoperability: Discuss the challenges and opportunities in standardizing AI-enabled IoT technologies to ensure interoperability, compatibility, and seamless integration across heterogeneous IoT ecosystems. Explore emerging standards, protocols, and frameworks for facilitating collaboration and interoperability among AI and IoT technologies.
  • Demonstrations, Proof-of-Concepts, and Deployments: Present innovative demonstrations and proof-of-concepts showcasing the integration of AI technologies with IoT systems. Share insights and best practices for deploying AI-powered IoT solutions in diverse environments, including smart cities, healthcare, agriculture, manufacturing, transportation, and energy.
  • Regulation and Policy: Explore the regulatory and policy landscape surrounding AI and IoT technologies, including data governance, consumer protection, liability, accountability, and ethical considerations. Discuss the role of regulatory bodies, industry consortia, and international organizations in shaping ethical, legal, and policy frameworks to ensure the responsible development, deployment, and use of AI-powered IoT systems.

Authors should keep in mind that the intended audience consists of all the members of the IoT community. Hence, articles must be understandable by the general IoT practitioner/researcher, independent of technical or business specialty and are expected to add to the knowledge base or best practices of the IoT community. Mathematical material should be avoided; instead, references to papers containing the relevant mathematics should be provided when applicable.

In addition to the above, the IEEE IoTM general paper submission guidelines and author guidelines for manuscript development and submission over manuscript central must be carefully abided by.

Note: IoTM does not have a specific template and does not require manuscripts to be submitted in any specific layout. However, authors can use the template for IEEE Transactions to get a rough estimate of the page count.