On optimal partial broadcasting of wireless sensor networks for Kalman filtering

2011 ◽  
Author(s):  
Qing-Shan Jia ◽  
Ling Shi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Kalman Filtering ◽  
Wireless Sensor

scholarly journals IoT-Enabled Wireless Sensor Networks for Air Pollution Monitoring with Extended Fractional-Order Kalman Filtering

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5313
Author(s):  
Santanu Metia ◽  
Huynh A. D. Nguyen ◽  
Quang Phuc Ha
Keyword(s):  
Air Pollution ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Fractional Order ◽  
Kalman Filtering ◽  
High Performance ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Quality Data ◽  
Air Pollution Monitoring

This paper presents the development of high-performance wireless sensor networks for local monitoring of air pollution. The proposed system, enabled by the Internet of Things (IoT), is based on low-cost sensors collocated in a redundant configuration for collecting and transferring air quality data. Reliability and accuracy of the monitoring system are enhanced by using extended fractional-order Kalman filtering (EFKF) for data assimilation and recovery of the missing information. Its effectiveness is verified through monitoring particulate matters at a suburban site during the wildfire season 2019–2020 and the Coronavirus disease 2019 (COVID-19) lockdown period. The proposed approach is of interest to achieve microclimate responsiveness in a local area.

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