6G, the next generation communication system, is expected to satisfy unprecedented requirements on system performance in terms of throughput, latency, massive connections, and so on. In the 6G era, with the hyper-connectivity among humans and everything, we are anticipating Internet of Things (IoT) applications in various fields, including smart city, smart factory, smart home, smart grid, e-health, smart farming, and smart transportation, accompanied by new services with rich experiences, such as truly immersive VR/AR/MR (XR), etc. However, considering the diversity of networking entities, different application requirements, and resource constraints in IoT environments, there is a need for sustainable and innovative hardware and software upgrades. Future IoT systems will feature a larger number of devices and multi-access environments where different types of wireless spectrum, including Sub-6 GHz, Millimetre-wave, and Terahertz technologies, should be efficiently utilized. The increase in the number of IoT devices also increases the challenges of maintaining a net zero carbon emission rate, hence creating difficulties in meeting COP26 goals. To tackle these challenges, it is crucial to develop an IoT architecture that optimizes resource utilization and can cope with the constraints of IoT devices. Numerous appealing options exist for creating and executing energy-efficient communication networks. Some examples of these technologies include multiple-input-multiple-output (MIMO), intelligent reflecting surface (IRS), and energy-harvesting communications. Furthermore, it is also crucial to determine the type and amount of data to be shared, stored, and processed among the different network entities with heterogeneous characteristics in an IoT environment. Moreover, the network environment and system requirements change with the space and time domains, which require intelligent approaches in perception, networking, and control. It is envisioned that the collaborative intelligence is the enabler for collaborative and greener IoT systems. In order to promote a more environmentally friendly and smarter society, it is important to increase research efforts on collaborative intelligence and incorporate new hardware upgrades for IoT systems to accelerate the adoption of emerging IoT technologies. This workshop aims at addressing technical challenges to enable collaborative intelligence and hardware upgrades for IoT systems. The goal is to support a more sustainable and smarter society and help IoT-based companies to keep the 1.5 C goal of COP26 alive.
Only technical papers describing previously unpublished, original, state-of-the-art research, and not currently under review by a conference or a journal will be considered. Topics of interest include, but are not limited to, the following:
- Agent theory and Green IoT applications in the 6G era.
- Backscatter communications for Green IoT systems.
- Energy harvesting, wireless information, and power transfer for Green IoT systems.
- Wakeup radios and other low-power radio designs for Green IoT systems.
- Intelligent reflecting surface design for IoT systems in the 6G era.
- MIMO/massive MIMO upgrades for IoT systems in the 6G era.
- Mm-Wave and THz enabled antenna designs for IoT systems in the 6G era.
- Cognitive modelling of Green IoT systems in the 6G era.
- Collaborative and distributed IoT systems and control.
- Collaborative Green IoT frameworks in the 6G era.
- Collaborative intelligence security of IoT in the 6G era.
- Computation-efficient collaborative intelligence approaches for IoT systems in the 6G era.
- Data driven collaborative intelligence for Green IoT.
- Energy-efficient collaborative intelligence approaches for IoT.
- Group decision making for Green IoT systems.
- Human-machine cooperation for Green IoT systems.
- Intelligent collaborative processing for Green IoT.
- Multi-agent systems for Green IoT in the 6G era.
Important Dates:
Workshop Paper Submission Deadline: 5 August 2024
Paper Acceptance Notification: 1 September 2024
Camera Ready: 1 October 2024
Accepted Author Registration Deadline: 1 October 2024
Submission Link:
https://edas.info/newPaper.php?c=32692
