Wireless Power Harvesting Techniques to Improve Time to Fly of Drone 


Vol. 41,  No. 11, pp. 1574-1579, Nov.  2016


PDF Full-Text
  Abstract

This paper presents a self-powered sensor-node scheme using a RF wireless power harvesting techniques for improve drone time of flight. Sensor-node that is proposed is turned when two conditions satisfy: The one is input RF ID data from master-node should be same with sensor-node’s ID, and the other one is RF wireless power harvesting system is turned on by hysteresis switch. In this paper, master-node’s output is 26 ㏈m at 263 ㎒. Maximum RF to DC power conversion efficiency is about 55% at 4-6 ㏈m input power condition (2 meter from master-node). The maximum RF wireless power harvesting range is about 13 meter form master-node. And power consumption of the sensor-node’s load elements such as transmitter, MCU and temperature sensors is approximately average 15 ㎃ at 5.0 V for 10 msec.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

K. Nam, W. Jung, J. Jang, H. Chae, J. Park, "Wireless Power Harvesting Techniques to Improve Time to Fly of Drone," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1574-1579, 2016. DOI: .

[ACM Style]

Kyu-hyun Nam, Won-jae Jung, Jong-eun Jang, Hyung-il Chae, and Jun-seok Park. 2016. Wireless Power Harvesting Techniques to Improve Time to Fly of Drone. The Journal of Korean Institute of Communications and Information Sciences, 41, 11, (2016), 1574-1579. DOI: .

[KICS Style]

Kyu-hyun Nam, Won-jae Jung, Jong-eun Jang, Hyung-il Chae, Jun-seok Park, "Wireless Power Harvesting Techniques to Improve Time to Fly of Drone," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1574-1579, 11. 2016.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880