Task-oriented wireless communications with AI and IoT devices

• Main Author: Png, Justin Jun Leng
• Other Authors: Chau Yuen
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Task-oriented wireless communcations; AI; IoT Devices
• Online Access: https://hdl.handle.net/10356/181639
• Institution: Nanyang Technological University

The primary goal of this report is to showcase the development of the Final year project for Task-Oriented Wireless Communications with AI and IoT Devices. Understanding Task-Oriented Wireless Communications and methods for task extraction using AI with IoT devices is necessary for this project. Task-focused wireless communications transform IoT networks by placing importance on transmitting data based on tasks rather than transmitting raw data. This method, when combined with artificial intelligence integration, improves communication efficiency and resource management. This project seeks to create a communication system in which IoT devices only send important characteristics for task extraction, utilizing light AI abilities. By reviewing literature and analyzing data, we establish a foundation for a unified system to tackle issues in IoT environments with limited resources. In this paper, the author will give a summary of the project's advancements, highlighting the structure and design choices made so far, and examining the main elements of the system and how it facilitates effective feature extraction on IoT devices. Moreover, incorporating AI into the system helps with specialized task processing, cutting down on bandwidth consumption and improving resource distribution. This report discusses the obstacles of collision detection and various solutions using a simple AI model, highlighting progress towards a communication framework for tasks in IoT networks that reduces latency and boosts performance.