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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)

Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Fog ComputingÀ» Àû¿ëÇÑ Connected Vehicle ȯ°æ¿¡¼­ »óÅ Á¤º¸¿¡ ±â¹ÝÇÑ ³×Æ®¿öÅ© Áö´ÉÈ­
¿µ¹®Á¦¸ñ(English Title) Network Intelligence based on Network State Information for Connected Vehicles Utilizing Fog Computing
ÀúÀÚ(Author) ¹Ú¼ºÁø   À¯¿µÈ¯   Seongjin Park   Younghwan Yoo  
¿ø¹®¼ö·Ïó(Citation) VOL 43 NO. 12 PP. 1420 ~ 1427 (2016. 12)
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(Korean Abstract)
º» ³í¹®Àº Åë½Å ȯ°æÀÌ ºÒ¾ÈÁ¤ÇÏ°í ÅäÆú·ÎÁö°¡ ¼ö½Ã·Î º¯ÇÏ´Â CV(Connected Vehicle) ȯ°æ¿¡¼­ Fog computing°ú SDNÀÇ ÀåÁ¡À» È°¿ëÇÏ´Â ¹æ¹ý¿¡ ´ëÇØ Á¦½ÃÇÑ´Ù. À̸¦ À§Çؼ­ ¸ÕÀú Áß¾ÓÀÇ ÄÁÆ®·Ñ·¯´Â ÃÖ½ÅÀÇ ³×Æ®¿öÅ© ÅäÆú·ÎÁö¸¦ À¯ÁöÇÔÀ¸·Î½á ÇöÀç ³×Æ®¿öÅ© »óȲÀ» ÆľÇÇÒ ¼ö ÀÖ¾î¾ß ÇÑ´Ù. ƯÈ÷ ¸ð¹ÙÀÏ È¯°æ¿¡¼­´Â ÄÁÆ®·Ñ·¯°¡ ¼öÁýÇÏ´Â Á¤º¸Áß¿¡¼­ ³ëµåÀÇ ¿òÁ÷ÀÓ Á¤º¸°¡ Áß¿äÇϱ⠶§¹®¿¡ º» ³í¹®¿¡¼­´Â ¿òÁ÷ÀÓ Á¤º¸¸¦ ¼¼°¡Áö Á¾·ù·Î ¼¼ºÐÈ­ÇÏ¿© °ü¸®ÇÏ°í ÇØ´ç Á¤º¸¸¦ È¿À²ÀûÀ¸·Î È°¿ëÇÏ°íÀÚ ÇÑ´Ù. º» ³í¹®¿¡¼­ Á¦¾ÈÇÏ´Â ¸ð¹ÙÀÏ ³ëµåÀÇ ¿òÁ÷ÀÓ Á¤º¸ÀÇ È°¿ë ¹æ¾ÈÀº Å©°Ô µÎ°¡Áö·Î ÄÁÆ®·Ñ ¸Þ½ÃÁö Ƚ¼ö¸¦ Á¶ÀýÇÔÀ¸·Î½á ÄÁÆ®·Ñ ¿À¹öÇìµå¸¦ ÁÙÀÌ´Â °Í°ú Åë½Å ´ÜÀý ½Ã È¿À²ÀûÀ¸·Î º¹±¸ÇÒ ¼ö ÀÖ´Â º¹±¸ÇÁ·Î¼¼½º¸¦ Á¦¾ÈÇÏ´Â °ÍÀÌ´Ù. º¹±¸ ÇÁ·Î¼¼½º´Â µÎ°¡Áö·Î ¸ð¹ÙÀÏ ³ëµåÀÇ ¿òÁ÷ÀÓ Á¤º¸¸¦ È°¿ëÇÏ¿© ¿¬°á »óŸ¦ È¿À²ÀûÀ¸·Î º¹±¸ÇÏ´Â ¹æ¹ý°ú cloud level°ú fog levelÀ» ±¸º°ÇÏ¿© °æ·Î º¹±¸¸¦ ¼öÇàÇÏ´Â ¹æ¹ýÀÌ´Ù. ½Ã¹Ä·¹ÀÌ¼Ç °á°ú, ÁÖ¾îÁø ȯ°æ¿¡¼­ º» ³í¹®ÀÌ Á¦¾ÈÇÑ ¹æ¹ýÀÌ ±âÁ¸ ¹æ¹ý¿¡ ºñÇØ 55% °¡·®ÀÇ ÄÁÆ®·Ñ ¿À¹öÇìµå¸¦ ÁÙÀÌ°í Åë½Å ´ÜÀý ½Ã ²÷±è ½Ã°£À» 5% °¡·® ´ÜÃà½Ãų ¼ö ÀÖÀ½À» È®ÀÎÇÏ¿´´Ù.
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(English Abstract)
This paper proposes a method taking advantage of Fog computing and SDN in the connected vehicle environment which is having an unstable communication channel and a dynamic topology. For this purpose, the controller should understand the current state of the overall network by maintaining recent network topology, especially, the mobility information of mobile nodes. These are managed by the controller, and are important in unstable conditions in the mobile environment. The mobility levels are divided into 3 categories. We can efficiently exploit that information. By utilizing network state information, we suggest two outcomes. First, we reduce the control message overhead by adjusting the period of beacon messages. Second, we propose a recovery process to prepare the communication failure. We can efficiently recover connection failure through mobility information. Furthermore, we suggest a path recovery by decoupling the cloud level and the fog level in accordance with application data types. The simulation results show that the control message overhead and the connection failure time are decreased by approximately 55% and 5%, respectively in comparison to the existing method.
Å°¿öµå(Keyword) Fog computing   SDN   CV(Connected Vehicle)  
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