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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö > Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö ÄÄÇ»ÅÍ ¹× Åë½Å½Ã½ºÅÛ

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Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ½Ç½Ã°£ µå·Ð ¼­ºñ½º¸¦ À§ÇÑ Àü¿ø ÃæÀü ½ºÄÉÁ층°ú ÃæÀü ¹èÅ͸® ÇÒ´ç ¾Ë°í¸®Áò
¿µ¹®Á¦¸ñ(English Title) Power Charge Scheduling and Charge-Ready Battery Allocation Algorithms for Real-Time Drones Services
ÀúÀÚ(Author) Mehedi Tajrian   Jai-Hoon Kim   ±èÀçÈÆ  
¿ø¹®¼ö·Ïó(Citation) VOL 08 NO. 12 PP. 0277 ~ 0286 (2019. 12)
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(Korean Abstract)
¹«ÀÎÇ×°ø±â´Â »ç¹°ÀÎÅÍ³Ý ºÐ¾ß¿¡¼­ Áß¿äÇÑ ¹ß¸íÁßÀÇ ÇϳªÀÌ¸ç ¸¹Àº ÀÀ¿ë¿¡¼­ »ç¿ëµÇ°í ÀÖ´Ù. ƯÈ÷ ¼ÒÇü ¹«ÀÎÇ×°ø±â(µå·Ð)´Â ¹èÅ͸®·Î µ¿ÀÛÀ» Çϱ⠶§¹®¿¡ ¼­ºñ½º µµÁß ¶Ç´Â ¼­ºñ½º°£¿¡ ÃæÀü¼Ò¿¡¼­ ¹èÅ͸® ÃæÀü°ú ¹èÅ͸® ±³Ã¼°¡ ÇÊ¿äÇÏ´Ù. ¹èÅ͸® ÃæÀü¼Ò°¡ Á¦ÇÑµÈ »óȲ¿¡¼­ ¸ÕÀú ÃæÀüÇÒ µå·ÐÀ» ½ºÄÉÁ층ÇÏ°í ÃæÀüµÈ ¹èÅ͸®¸¦ ÇÒ´çÇÏ´Â ¹®Á¦´Â Áß¿äÇÏ´Ù. º» ³í¹®¿¡¼­´Â È¿À²ÀûÀÎ µå·ÐÀÇ ¹èÅ͸® ÃæÀü ½ºÄÉÁ층 ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÏ¿´´Ù. µå·ÐÀ» À§ÇÑ ¹èÅ͸® ÃæÀü ½ºÄÉÁ층 ¾Ë°í¸®ÁòÀÇ ±âº» ¾ÆÀ̵ð¾î´Â ½Ç½Ã°£Ã³¸® ȯ°æ¿¡¼­ ¸¶°¨½Ã°£À» ¸¸Á·Çϱâ À§ÇÏ¿© ¸¶°¨½Ã°£À» °í·ÁÇÔ(EDF)°ú µ¿½Ã¿¡ ´ë±â½Ã°£À» ÁÙÀ̱â À§Çؼ­ ÃæÀü½Ã°£À» µ¿½Ã¿¡ °í·Á(SJF)ÇÏ¿´´Ù. Áï, ¸¶°¨½Ã°£ÀÌ ÂªÀ»¼ö·Ï ±×¸®°í ÃæÀü½Ã°£ÀÌ ÂªÀ»¼ö·Ï ³ôÀº ¿ì¼±¼øÀ§¸¦ ºÎ¿©ÇÏ¿© ¸¶°¨½Ã°£ ÁؼöÀ²À» ³ôÀÌ°í Æò±Õ ´ë±â½Ã°£À» ÁÙÀÓÀ¸·Î¼­ °á°úÀûÀ¸·Î ¸¶°¨½Ã°£ ÁؼöÀ²Çâ»ó°ú ´ë±â½Ã°£ ´ÜÃàÀ̶ó´Â µÎ°¡Áö Ãø¸éÀ» µ¿½Ã¿¡ ¸¸Á·ÇÒ ¼ö ÀÖ´Â ±â¹ýÀ» °í·ÁÇÏ¿´´Ù. ÀÌ¹Ì ÃæÀüµÈ ¹èÅ͸®ÀÇ ÇÒ´ç¿¡¼­´Â ÃæÀü½Ã°£ÀÌ ±æ¼ö·Ï ³ôÀº ¿ì¼±¼øÀ§¸¦ ¹èÁ¤ÇϹǷμ­ Æò±Õ ´ë±â½Ã°£À» ÁÙÀÏ ¼ö ÀÖ´Ù. ½Ã¹Ä·¹ÀÌ¼Ç °á°ú Á¦¾È ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÏ¿© ¸¶°¨½Ã°£ ÁؼöÀ²°ú Æò±Õ ´ë±â½Ã°£ Ãø¸é¿¡¼­ ±âÁ¸ ¾Ë°í¸®Áò(EDF¿Í SJF)°ú ºñ±³ÇÏ¿© ÁÁÀº ¼º´ÉÀ» º¸ÀÓÀ» È®ÀÎÇÏ¿´´Ù. ½Ã¹Ä·¹ÀÌ¼Ç °á°ú¸¦ ¹ÙÅÁÀ¸·Î ½Ã½ºÅÛ ÆĶó¸ÞÅÍ¿Í »ç¿ëÀÚ ¿ä±¸»çÇ׿¡ µû¶ó ¹èÅ͸® ÃæÀü ½ºÄÉÁ층°ú ¹èÅ͸® ÇÒ´ç ¾Ë°í¸®Áò À» ÇÕ¸®ÀûÀ¸·Î ¼±ÅÃÇÒ ¼ö ÀÖ´Ù.
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(English Abstract)
The Unmanned Aerial Vehicle (UAV) is one of the most precious inventions of Internet of things (IOT). UAV faces the necessity to charge battery or replace battery from the charging stations during or between services. We propose scheduling algorithms for drone power charging (SADPC). The basic idea of algorithm is considering both a deadline (for increasing deadline miss ratio) and a charging time (for decreasing waiting time) to decide priority on charging station among drones. Our simulation results show that our power charging algorithm for drones are efficient in terms of the deadline miss ratio as well as the waiting time in general in compare to other conventional algorithms (EDF or SJF). Also, we can choose proper algorithms for battery charge scheduling and charge ready battery allocation according to system parameters and user requirements based on our simulation.
Å°¿öµå(Keyword) UAV   Drone   Real-Time   Power   Scheduling   µå·Ð   ½Ç½Ã°£   Àü¿ø   ½ºÄÉÁÙ¸µ  
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