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Efficient Scheduling Algorithm for drone power charging
  • TAJRIAN MEHEDI
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Advisor
Jai-Hoon Kim
Affiliation
ESADPC
Department
일반대학원 컴퓨터공학과
Publication Year
2019-08
Publisher
The Graduate School, Ajou University
Description
학위논문(석사)--아주대학교 일반대학원 :컴퓨터공학과,2019. 8
Alternative Abstract
Unmanned Aerial Vehicle (UAV) is one of the most precious inventions of Internet of things (IOT). UAV face the necessity to charge itself from the charging stations during they provide services. It is very difficult to choose which UAV should get charged first among many and make order of priorities for UAVs, when there is a single charging station. We are proposing an efficient scheduling algorithm for drone power charging (ESADPC). With the help of ESADPC, charging station would have a scheduler to decide which drone can get charged earlier among many other drones. The scheduler will also check, are the drones able to deliver within its remaining deadline after charged or not. Using ESADPC, drones will be able to get charged with a sequential order and will charge one by one depending on their priority. It shows after simulating and analyzing ESADPC with C programming and mathematical calculation that our algorithm is efficient, time saving, better organized and there will be less chance to miss the deadline after using ESADPC.
Language
eng
URI
https://dspace.ajou.ac.kr/handle/2018.oak/15519
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Type
Thesis
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