Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency

• Main Author: Xia, Zhiqi
• Other Authors: Arokiaswami Alphones
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Integrated sensing and communication
• Online Access: https://hdl.handle.net/10356/175511
• Institution: Nanyang Technological University

This dissertation addresses the challenges in the working range of personnel tracking and energy efficiency of machine-to-machine (M2M) communication within camerabased smart factory environments. The proposed camera-based integrated sensing and communication (ISAC) system which re-utilizes the camera as the receiver to multiplex channel strengthens the capability of smart sensing and M2M communication requires low additional cost. To extend the working range of personnel tracking, a visible light communication (VLC) method was proposed to help the computer vision method improve person differentiation ability. The highest bit error rate (BER) of this method is only 0.035, and 84.64 percent of the positions had a BER of 0. By incorporating molecular communication channels into the optical camera communication (OCC) system, energy efficiency M2M communication is achieved while supporting carbon neutrality goals and also extending the working range of optical camera communication. When the communication distance is extended to 20m, the bit error rate is only 0.04. Keywords: ISAC, Optical Camera Communication, Visible Lighting Communication, Molecular Communication.