Artificial Intelligence of Things (AIoT)
Artificial Intelligence (AI) and the Internet of Things (IoT) are two of the most rapidly evolving and interdependent fields of technology. The convergence of these two fields is leading to the creation of an emerging interdisciplinary field, dubbed the Artificial Intelligence of Things (AIoT). The AIoT represents the integration of AI technologies into IoT systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. By combining IoT with AI, the data collected by distributed nodes can be utilized by applying AI techniques such as machine learning and deep learning. As a result, machine learning capabilities are moved closer to the data source.
The AIoT Working Group aims to explore the integration of artificial intelligence (AI) technologies into the Internet of Things (IoT) systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. The working group will focus on the following areas:
- AIoT Architectures, Frameworks, and Algorithms: Developing novel AIoT architectures, frameworks, and algorithms for deploying state-of-the-art machine learning and deep learning algorithms on IoT and edge devices, realising the so-called Edge AI or Edge Intelligence;
- AIoT Applications: Identifying and exploring new AIoT applications, including healthcare, smart homes, industrial automation, transportation, and digital agriculture;
- Standards and Interoperability: Developing standards and protocols for AIoT systems and ensuring interoperability between different platforms and devices; and
- Ethics and Security: Addressing ethical and security concerns related to AIoT, such as privacy, transparency, and accountability.
The AIoT Working Group includes the following founding members:
Chair: Wei Xiang, La Trobe University, Australia
Vice Chair: Carla Fabiana Chiasserini, Politecnico di Torino, Italy
Zhibo Pan, ABB Corporate Research, Sweden
Ning Zhang, University of Windsor, Canada
Kan Yu, La Trobe University, Australia
Space and Aerial Systems for Internet of Things (SAS-IoT)
Space and aerial systems (SAS) refer to various airborne and space assets, such as manned/unmanned aerial vehicles, balloons, and low earth orbit (LEO) satellites, that are interconnected together to establish a high-speed and universal data network. As compared to terrestrial networks, SAS can potentially offer higher wireless coverage, more flexible network configurations to meet various requirements, and less capital costs. Hence, it is promising and has drawn much attention to apply SAS to connect a massive number of Internet of Things (IoT) devices, especially when IoT devices are deployed in an area, where 1) it is expensive or impossible to deploy a terrestrial network to achieve IoT communications, or 2) a terrestrial network is out of service when, for example, a disaster struck the area. On the other hand, SAS can provide not only data communication services but also edge computing capabilities to IoT devices. That is, various airborne and space assets are capable of collaboratively processing big data generated by the IoT devices to generate high-level knowledge in real time.
The working group will explore the potential challenges and corresponding solutions of SAS for various IoT applications.
The Space and Aerial Systems for Internet of Things (SAS-IoT) Working Group aims to investigate how to optimize the configurations of SAS to achieve efficient communications and computing for various IoT applications. The working group will focus on but not limit to the following research topics:
- Wireless Communications for SAS-IoT: The working group will investigate different wireless communications solutions, such as mmWave communications, terahertz communications, and free space optics, for access and core networks in SAS-IoT. The working group will also explore the technologies, such as semantic communications, that can improve the ground-to-air and air-to-air wireless link capacities.
- Coordination and Networking for SAS-IoT: The working group will focus on the solutions of dynamic airborne and space node deployment, network topology reconfigurations, and traffic engineering for SAS-IoT to meet the different requirements of IoT applications.
- Edge Computing for SAS-IoT: The working group will investigate the applications that can benefit from the edge computing platform in the context of SAS-IoT and explore resource management solutions to accelerate task offloading and reduce energy consumption of IoT devices in SAS-IoT.
- Cybersecurity and reliability for SAS-IoT: The working group will concentrate on the technologies to resolve the security and reliability concerns for SAS-IoT, such as data privacy, airborne and space asset security, counter-UAV threats, etc.
The objectives of the SAS-IoT working group include:
- To promote the development of technological innovation for SAS-IoT;
- To identify and establish a network of experts and stakeholders in SAS-IoT that can facilitate collaboration and knowledge dissemination;
- To identify and address technical and non-technical challenges related to SAS-IoT adoption and implementation;
- To provide a platform for the dissemination of research, best practices, and standards related to SAS-IoT.
The SAS-IoT working group includes the following founding members:
Chair: Xiang Sun, University of New Mexico, USA
Kamesh Namuduri, University of North Texas, USA
Sudharman K. Jayaweera, University of New Mexico, USA
Ifana Mahbub, University of Texas at Dallas, USA
Jingjing Yao, Texas Tech University, USA