AI Advancements in Computing for Large Scale IoT Networks

The Internet of Things (IoT) plays a crucial role in transforming the way we live and work, connecting physical devices, vehicles, and infrastructure to the digital world. By enabling real-time data exchange and analytics, IoT improves efficiency, productivity, and decision-making across various sectors. From smart homes and cities to healthcare and industrial automation, IoT enhances convenience, safety, and innovation. Its impact is felt in increased energy efficiency, reduced costs, and enhanced customer experiences. IoT’s seamless integration of technology with massive computing capabilities promises a more connected and sustainable future, but the challenges are significant, and the research community is working hard to provide solutions. Computing, a major area of focus for large-scale IoT networks, plays a pivotal role in enabling real-time data processing, analysis, and decision-making. By analyzing vast amounts of sensor data, computing transforms IoT devices into intelligent systems. Edge computing and cloud computing integrated with Artificial Intelligence (AI) facilitate smart solutions for efficient data processing, reducing latency and improving IoT device performance. Based on the advancements in computing for futuristic intelligent IoT networks, this Collection mainly targets the challenges and solutions in enhancing computing capabilities in large-scale IoT networks. We welcome original contributions from the research community and the topics of interest for this Collection include but are not limited to AI advancements in the following areas:

- Mobile edge computing for IoT networks

- Scheduling schemes in cloud for IoT networks

- Advanced IoT architectures for intelligent systems

- Cross layer design issues in IoT networks

- Adaptive algorithms for IoT networks

- Communication schemes for IoT networks

- Real-time data analytics for IoT networks

- Quality of service/performance enhancement in IoT networks

- Middleware platforms for IoT networks

- Machine learning and deep learning methodologies for IoT networks

- Security and privacy issues for IoT networks

- Computing algorithms for IoT Applications (smart home/smart cities/smart transportation/smart devices/healthcare)

This Collection supports and amplifies research related to SDG 9.

Keywords: Internet of Things (IoT), Edge Computing, Intelligent Systems, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Security