Nattawat Pattarawetwong
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Nattawat Pattarawetwong has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Arisaphat Suttidee
Mahasarakham Business School, Mahasarakham University, Maha Sarakham 44150, Thailand
1 shared publication - Charuay Savithi
Mahasarakham Business School, Mahasarakham University, Mahasarakham 44150, Thailand
1 shared publication
Latest Publications
- Open Access
- 1 February 2026
- Published by MDPI AG in Journal of Sensor and Actuator Networks
- Vol. 15 (1) , 15
Toward an Integrated IoT–Edge Computing Framework for Smart Stadium Development
Large sports stadiums require robust real-time monitoring due to high crowd density, complex spatial configurations, and limited network infrastructure. This research evaluates a hybrid edge–cloud architecture implemented in a national stadium in Thailand. The proposed framework integrates diverse surveillance subsystems, including automatic number plate recognition, face recognition, and panoramic cameras, with edge-based processing to enable real-time situational awareness during high-attendance events. A simulation based on the stadium’s physical layout and operational characteristics is used to analyze coverage patterns, processing locations, and network performance under realistic event scenarios. The results show that geometry-informed sensor deployment ensures continuous visual coverage and minimizes blind zones without increasing camera density. Furthermore, relocating selected video processing tasks from the cloud to the edge reduces uplink bandwidth requirements by approximately 50–75%, depending on the processing configuration, and stabilizes data transmission during peak network loads. These findings suggest that processing location should be considered a primary architectural design factor in smart stadium systems. The combination of edge-based processing with centralized cloud coordination offers a practical model for scalable, safety-oriented monitoring solutions in high-density public venues.
- 1 February 2026
- Published by MDPI AG in Journal of Sensor and Actuator Networks
- Vol. 15 (1) , 15
Open AccessToward an Integrated IoT–Edge Computing Framework for Smart Stadium Development
Large sports stadiums require robust real-time monitoring due to high crowd density, complex spatial configurations, and limited network infrastructure. This research evaluates a hybrid edge–cloud architecture implemented in a national stadium in Thailand. The proposed framework integrates diverse surveillance subsystems, including automatic number plate recognition, face recognition, and panoramic cameras, with edge-based processing to enable real-time situational awareness during high-attendance events. A simulation based on the stadium’s physical layout and operational characteristics is used to analyze coverage patterns, processing locations, and network performance under realistic event scenarios. The results show that geometry-informed sensor deployment ensures continuous visual coverage and minimizes blind zones without increasing camera density. Furthermore, relocating selected video processing tasks from the cloud to the edge reduces uplink bandwidth requirements by approximately 50–75%, depending on the processing configuration, and stabilizes data transmission during peak network loads. These findings suggest that processing location should be considered a primary architectural design factor in smart stadium systems. The combination of edge-based processing with centralized cloud coordination offers a practical model for scalable, safety-oriented monitoring solutions in high-density public venues.