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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ÇÐȸÁö > µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)

µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) À̵¿°´Ã¼ µ¥ÀÌÅͺ£À̽º¿¡¼­ ³»¿ëºÎÇÕ ¹üÀ§ ¸ð´ÏÅ͸µ ÁúÀÇ Ã³¸®
¿µ¹®Á¦¸ñ(English Title) Evaluation of Content-Matched Range Monitoring Queries over Moving Objects
ÀúÀÚ(Author) ÀÌÁ¾Çõ   JongHyeok Lee   Á¤Çϸ²   HaRim Jung   ±èÀÀ¸ð   Ung-Mo Kim  
¿ø¹®¼ö·Ïó(Citation) VOL 31 NO. 03 PP. 0027 ~ 0048 (2015. 12)
Çѱ۳»¿ë
(Korean Abstract)
À̵¿°´Ã¼ µ¥ÀÌÅͺ£À̽º¿¡¼­ ³»¿ëºÎÇÕ ¹üÀ§ ¸ð´ÏÅ͸µ ÁúÀÇ´Â (i) À̵¿°´Ã¼ÀÇ ºñ°ø°£ ¼Ó¼º °ªÀÌ ÁÖ¾îÁø ºñ°ø°£ ÁúÀÇ °ª°ú ºÎÇÕÇÏ°í, (ii) ÁÖ¾îÁø °ø°£ ÁúÀÇ ¹üÀ§ ¾È¿¡ À§Ä¡ÇÏ°í ÀÖ´Â À̵¿°´Ã¼µéÀ» Áö¼ÓÀûÀ¸·Î °Ë»öÇÑ´Ù. °´Ã¼ÀÇ À§Ä¡¸¸ °í·ÁÇÏ´Â ±âÁ¸ °ø°£ ¹üÀ§ ¸ð´ÏÅ͸µ ÁúÀÇ ±â¹ýÀº ÀÌ·¯ÇÑ ÁúÀǸ¦ ´Ù·ç´Âµ¥ È¿À²ÀûÀÌÁö ¸øÇÏ´Ù. º» ³í¹®¿¡¼­´Â ³»¿ëºÎÇÕ ¹üÀ§ ¸ð´ÏÅ͸µ ÁúÀǵéÀ» È¿À²ÀûÀ¸·Î ó¸®ÇÏ´Â »õ·Î¿î ÁúÀÇ »öÀÎ ±¸Á¶ÀÎ GQR-tree(Group-aware Query Region Tree)¸¦ Á¦¾ÈÇÑ´Ù. GQR-tree´Â °ø°£ ÁúÀÇ ¹üÀ§¸¦ ±â¹ÝÀ¸·Î ±¸ÃàµÉ ¶§ ºñ°ø°£ ÁúÀÇ °ª¿¡ µû¶ó ÁúÀǸ¦ ±×·ìÈ­ÇÑ´Ù. GQR-tree´Â À̵¿°´Ã¼ÀÇ ¿¬»ê´É·ÂÀ» È°¿ëÇÏ¿© ¼­¹ö¿Í È¿À²ÀûÀ¸·Î Çù·ÂÇÔÀ¸·Î½á ³»¿ëºÎÇÕ ¸ð´ÏÅ͸µ ÁúÀÇ Ã³¸® ÀÛ¾÷À» ÇÏ¿© À§Ä¡ ¾÷µ¥ÀÌÆ® ½ºÆ®¸² ¾çÀ» ÃÖ¼ÒÈ­Çϴµ¥ »ç¿ëµÈ´Ù. ½Ã¹Ä·¹À̼ǵéÀ» ÅëÇÏ¿© À§Ä¡ ¾÷µ¥ÀÌÆ® ½ºÆ®¸² ¾ç¿¡ ¹ÐÁ¢ÇÑ »ó°ü °ü°è¸¦ °¡Áø ¹«¼± Åë½Åºñ¿ë°ú ¼­¹öÀÛ¾÷·® ¸é¿¡¼­ GQR-treeÀÇ È¿À²¼ºÀ» ÀÔÁõÇÑ´Ù.
¿µ¹®³»¿ë
(English Abstract)
A content-matched (CM) range monitoring query over moving objects continually retrieves the moving objects (i) whose non-spatial attribute values are matched to given non-spatial query values, and (ii) that are currently located within a given spatial query range. The majority of existing methods for a traditional spatial range monitoring query, which considers only objects¡¯ current locations, cannot efficiently deal with such a query. In this paper, we propose a new query indexing structure, called the group-aware query region tree(GQR-tree) for efficient evaluation of CM range monitoring queries. The GQR-tree groups queries according to their non-spatial query values when being built on their spatial query ranges. The primary role of the GQR-tree is to leverage the computational capabilities of moving objects by pushing some tasks of CM range monitoring query evaluation to the moving objects and makes the server to efficiently cooperate with the moving objects in order to reduce the amount of location update stream from the moving objects. Through a series of comprehensive simulations, we verify the efficiency of the GQR-tree in terms of the wireless communication cost and the server workload which depend on the amount of location update stream from moving objects.
Å°¿öµå(Keyword) ¹üÀ§ ¸ð´ÏÅ͸µ ÁúÀÇ   À̵¿°´Ã¼   ÁúÀÇ »öÀΠ  À§Ä¡ ¼¾½Ì   À§Ä¡±â¹Ý ¼­ºñ½º   À̵¿ÄÄÇ»Æà  range monitoring query   moving object   query indexing   location sensing   location-based services   mobile computing  
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