한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2019년도 춘계학술발표대회
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- Pages.60-61
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- 2019
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Efficient Scheduling Algorithm for drone power charging
- Tajrian, Mehedi (Dept. of Computer Engineering, Ajou University) ;
- Kim, Jai-Hoon (Dept. of Cyber Security, Ajou University)
- 발행 : 2019.05.10
초록
Drones are opening new horizon as a major Internet-of-Things (IoT) player which is a network of objects. Drone needs to charge itself during providing services from the charging stations. If there are lots of drones and one charging station, then it is a critical situation to decide which drone should get charged first and make order of priorities for drones to get charged sequentially. In this paper, we propose an efficient scheduling algorithm for drone power charging (ESADPC), in which charging station would have a scheduler to decide which drone can get charged earlier among many other drones. Simulation results have showed that our algorithm reduces the deadline miss ration and turnaround time.
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