scholarly journals Real-Time Video Surveillance over IEEE 802.11 Mesh Networks

2009 ◽  
Author(s):  
Arvind Kandhalu ◽  
Anthony Rowe ◽  
Ragunathan Rajkumar ◽  
Chingchun Huang ◽  
Chao-Chun Yeh
Keyword(s):  
Real Time ◽  
Ieee 802.11 ◽  
Video Surveillance ◽  
Mesh Networks

Real-Time Communication Support in IEEE 802.11-Based Wireless Mesh Networks

2015 ◽  
pp. 7247-7259
Author(s):  
Carlos M. D. Viegas ◽  
Francisco Vasques ◽  
Paulo Portugal
Keyword(s):  
Real Time ◽  
Ieee 802.11 ◽  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Communication Support ◽  
Wireless Mesh

Assessment of the Interference caused by uncontrolled traffic sources upon real-time communication in IEEE 802.11-based mesh networks

2012 ◽  
Author(s):  
Carlos M. D. Viegas ◽  
Silvio Sampaio ◽  
Francisco Vasques ◽  
Paulo Portugal ◽  
Pedro Souto
Keyword(s):  
Real Time ◽  
Ieee 802.11 ◽  
Mesh Networks

QoE based Bandwidth Management Supporting Real Time Flows in IEEE 802.11 Mesh Networks

2009 ◽  
Vol 32 (4) ◽  
Author(s):  
R. Pries ◽  
D. Hock ◽  
D. Staehle
Keyword(s):  
Real Time ◽  
Ieee 802.11 ◽  
Mesh Networks ◽  
Bandwidth Management

Safety Monitoring and Warning System for Subway Construction Workers using Wearable Technology

2019 ◽  
Vol 13 ◽  
Author(s):  
Jun-hua Chen ◽  
Da-hu Wang ◽  
Cun-yuan Sun
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Early Warning ◽  
Warning System ◽  
Safety Monitoring ◽  
Wearable Technology ◽  
Construction Workers ◽  
Great Success ◽  
Subway Construction ◽  
Monitoring And Early Warning

Objective: This study focused on the application of wearable technology in the safety monitoring and early warning for subway construction workers. Methods: With the help of real-time video surveillance and RFID positioning which was applied in the construction has realized the real-time monitoring and early warning of on-site construction to a certain extent, but there are still some problems. Real-time video surveillance technology relies on monitoring equipment, while the location of the equipment is fixed, so it is difficult to meet the full coverage of the construction site. However, wearable technologies can solve this problem, they have outstanding performance in collecting workers’ information, especially physiological state data and positioning data. Meanwhile, wearable technology has no impact on work and is not subject to the inference of dynamic environment. Results and conclusion: The first time the system applied to subway construction was a great success. During the construction of the station, the number of occurrences of safety warnings was 43 times, but the number of occurrences of safety accidents was 0, which showed that the safety monitoring and early warning system played a significant role and worked out perfectly.

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