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http://dx.doi.org/10.13067/JKIECS.2016.11.9.923

Drone Based Sensor Network Scenario for the Efficient Pedestrian's EEG Signal Transmission  

Jo, Jun-Mo (Dept. Electronics Engineering, Tongmyong University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.11, no.9, 2016 , pp. 923-928 More about this Journal
Abstract
The various technologies related to the monitoring human health in real-time for the emergency situations are developing these days. Mostly the human pulse is used for measuring as the vital signs so far, but the EEG became a major research trend now. However, there are some problems measuring and sending EEG signals of all the people walking down the street to the dedicated server. Especially, there are some restrictions for collecting and sending EEG signals in 2-dimensional space in real-time. Therefore, I suggests an efficient network model using 3-dimensional space of drones to avoid the restrictions. The models are designed, simulated, and evaluated with the Opnet simulator.
Keywords
EEG Signal; Drone; Sensor Network Scenario;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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