Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency
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...
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| Other Authors: | |
| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/175511 |
| _version_ | 1811681152415563776 |
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| author | Xia, Zhiqi |
| author2 | Arokiaswami Alphones |
| author_facet | Arokiaswami Alphones Xia, Zhiqi |
| author_sort | Xia, Zhiqi |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:36:24Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/175511 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:36:24Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1755112024-04-26T16:01:02Z Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency Xia, Zhiqi Arokiaswami Alphones School of Electrical and Electronic Engineering EAlphones@ntu.edu.sg Computer and Information Science Integrated sensing and communication 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. Master's degree 2024-04-26T06:03:49Z 2024-04-26T06:03:49Z 2024 Thesis-Master by Coursework Xia, Z. (2024). Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175511 https://hdl.handle.net/10356/175511 en application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Integrated sensing and communication Xia, Zhiqi Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency |
| title | Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency |
| title_full | Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency |
| title_fullStr | Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency |
| title_full_unstemmed | Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency |
| title_short | Camera-based integrated sensing and communication for shop floor personnel tracking and IoT: focus towards extending working range and energy efficiency |
| title_sort | camera based integrated sensing and communication for shop floor personnel tracking and iot focus towards extending working range and energy efficiency |
| topic | Computer and Information Science Integrated sensing and communication |
| url | https://hdl.handle.net/10356/175511 |
| work_keys_str_mv | AT xiazhiqi camerabasedintegratedsensingandcommunicationforshopfloorpersonneltrackingandiotfocustowardsextendingworkingrangeandenergyefficiency |