MyJournals Home  

RSS FeedsSensors, Vol. 19, Pages 3668: An Approach to Dynamic Sensing Data Fusion (Sensors)

 
 

23 august 2019 19:00:54

 
Sensors, Vol. 19, Pages 3668: An Approach to Dynamic Sensing Data Fusion (Sensors)
 




For the research and development of sensor systems, the collection and fusion of sensing data is the core. In order to make sensor data acquisition change with the change in environment, a dynamic data acquisition and fusion method based on feedback control is proposed in this paper. According to the sensing data acquisition and fusion model, the optimal acquisition of sensor data is achieved through real-time dynamic judgment of the collected data, decision-making of the next acquisition time interval, and adjustment. This model enables the sensor system to adapt to different environments. An experimental study of the proposed model was carried out on an experimental platform, and the results show that the proposed model can not only reflect the change in sensing data but also improve the transmission efficiency.


Del.icio.us Digg Facebook Google StumbleUpon Twitter
 
22 viewsCategory: Chemistry, Physics
 
Sensors, Vol. 19, Pages 3669: Evaluation of a Cost-Effective Ammonia Monitoring System for Continuous Real-Time Concentration Measurements in a Fattening Pig Barn (Sensors)
Sensors, Vol. 19, Pages 3667: Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability (Sensors)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics

Use these buttons to bookmark us:
Del.icio.us Digg Facebook Google StumbleUpon Twitter


Valid HTML 4.01 Transitional
Copyright © 2008 - 2019 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn