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ÇѱÛÁ¦¸ñ(Korean Title) |
GR-tree: ¹«¼± ¼¾¼ ³×Æ®¿öÅ©¿¡¼ ¿¡³ÊÁö È¿À²ÀûÀÎ ºÐ»ê °ø°£»öÀαâ¹ý |
¿µ¹®Á¦¸ñ(English Title) |
The GR-tree: An Energy-Efficient Distributed Spatial Indexing Scheme in Wireless Sensor Networks |
ÀúÀÚ(Author) |
±è¹Î¼ö
ÀåÀμº
Min Soo Kim
In Sung Jang
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¿ø¹®¼ö·Ïó(Citation) |
VOL 19 NO. 05 PP. 0063 ~ 0074 (2011. 10) |
Çѱ۳»¿ë (Korean Abstract) |
Ãֱ٠ƯÁ¤ °ø°£¿µ¿ª ³»¿¡ Æ÷ÇԵǴ ¼¾¼³ëµåµé¸¸ÀÇ ¼¾½ÌÁ¤º¸¸¦ ¿¡³ÊÁö È¿À²ÀûÀ¸·Î ¼öÁýÇÏ´Â ¼¾¼ ³×Æ®¿öÅ© ±â¹Ý °ø°£ÁúÀÇ󸮿¡ ´ëÇÑ °ü½ÉÀÌ Áõ°¡ÇÏ°í ÀÖ´Ù. ÀÌ·¯ÇÑ ¼¾¼ ³×Æ®¿öÅ© ±â¹Ý °ø°£ÁúÀÇó¸®ÀÇ °¡Àå ´Ü¼øÇÑ ¹æ¹ýÀº ¸ðµç ¼¾¼³ëµåÀÇ À§Ä¡¿Í ¼¾½ÌÁ¤º¸¸¦ ¼¹ö·Î ¼öÁýÇÑ ´ÙÀ½, ¼¹ö¿¡¼ °ø°£ÁúÀǸ¦ ó¸®ÇÏ´Â Centralized ¹æ¹ýÀÌ´Ù. ÀÌ ¹æ¹ýÀº °£´ÜÇÏ´Ù´Â ÀåÁ¡Àº ÀÖÁö¸¸, ¸ðµç ¼¾¼³ëµå¸¦ Á¢±ÙÇϱâ À§ÇÏ¿© ¼Ò¿äµÇ´Â ³ôÀº ¹«¼±Åë½Å ºñ¿ëÀ¸·Î ÀÎÇÏ¿© ¼¾¼³ëµåÀÇ ¿¡³ÊÁö È¿À²¼ºÀÌ Å©°Ô ¶³¾îÁö´Â ´ÜÁ¡À» °¡Áö°í ÀÖ´Ù. ÀÌ·¯ÇÑ Centralized ¹æ¹ýÀ» º¸¿ÏÇϱâ À§ÇÏ¿© ¼¾¼³ëµå¿¡¼ ºÐ»ê °ø°£ ÇÊÅ͸µÀ» ¼öÇàÇÏ¿© ¼¾¼³ëµå °£ÀÇ ¹«¼±Åë½Å Ƚ¼ö¸¦ °¨¼Ò½ÃÅ°´Â In-network ±â¹Ý ºÐ»ê °ø°£»öÀαâ¹ýµéÀÌ Á¦¾ÈµÇ¾î ¿Ô´Ù. ±×·¯³ª, ÀÌ·¯ÇÑ ºÐ»ê °ø°£»öÀαâ¹ýµéÀº ´ëºÎºÐ ¼¹ö¿¡¼ ÀÌ¿ëµÇ´ø ±âÁ¸ °ø°£»öÀαâ¹ýµéÀ» ¼¾¼ ³×Æ®¿öÅ©¿¡ ´Ü¼øÈ÷ Àû¿ëÇÏ¿´±â ¶§¹®¿¡, In-network ȯ°æ¿¡¼ °ø°£ ÇÊÅ͸µÀÇ È¿°ú¿Í ¼¾¼³ëµåµé °£ÀÇ ¹«¼± ¶ó¿ìÆÃÀ» µ¿½Ã¿¡ ÃÖÀûÈÇÏÁö ¸øÇÏ´Â ´ÜÁ¡À» °¡Áö°í ÀÖ´Ù. ÀÌ¿¡ º» ³í¹®¿¡¼´Â In-network ȯ°æ¿¡¼ °ø°£ ÇÊÅ͸µÀ» ÃÖÀûÈÇÏ¸é¼ µ¿½Ã¿¡ ¼¾¼³ëµåµé °£ÀÇ ¶ó¿ìÆÃÀ» º¸ÀåÇÒ ¼ö ÀÖ´Â GR-treeÀÇ »õ·Î¿î ºÐ»ê °ø°£»öÀαâ¹ýÀ» Á¦¾ÈÇÏ°íÀÚ ÇÑ´Ù. GR-tree ¹æ¹ýÀº R-tree¿Í À¯»çÇÏ°Ô MBR ±â¹ÝÀÇ Æ®¸®¸¦ ±¸¼ºÇϸç, ¼¾¼³ëµåµé °£ÀÇ ¹«¼± ¶ó¿ìÆà ¹× °ø°£ÀûÀÎ ÀÎÁ¢¼ºÀ» º¸ÀåÇÏ¸é¼ MBRµé °£ÀÇ °ãħÀ» ÃÖ¼ÒÈÇÒ ¼ö Àִ Ư¡À» °¡Áö°í ÀÖ´Ù. ³¡À¸·Î, GR-tree¿Í ±âÁ¸ ¹æ¹ýµéÀÇ ´Ù¾çÇÑ ¼º´É ºñ±³ ½ÇÇèÀ» ÅëÇÏ¿© Á¦¾ÈµÈ ¹æ¹ýÀÇ È¿À²¼ºÀ» º¸¿©ÁÖ°íÀÚ ÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
Recently, there has been much interest in the spatial query which energy-efficiently acquires sensor readings from sensor nodes inside specified geographical area of interests. The centralized approach which performs the spatial query at a server after acquiring all sensor readings, though simple, it incurs high wireless transmission cost in accessing all sensor nodes. In order to remove the high w ireless transmission cost, various in-network spatial indexing schemes have been proposed. They have focused on reducing the transmission cost by performing distributed spatial filtering on sensor nodes. However, these in-network spatial indexing schemes have a problem which cannot optimize both the spatial filtering and the wireless routing among sensor nodes, because these schemes have been developed by simply applying the existing spatial indexing schemes into the in-network environment. Therefore, we propose a new distributed spatial indexing scheme of the GR-tree. The GR-tree which form s a MBR-based tree structure, can reduce the w ireless transmission cost by optimizing both the efficient spatial filtering and the wireless routing. Finally, we compare the existing spatial indexing scheme through extensive experiments and clarify our approach¡¯s distinguished features.
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Å°¿öµå(Keyword) |
¼¾¼ ³×Æ®¿öÅ© µ¥ÀÌÅͺ£À̽º
In-network °ø°£ ÁúÀÇ
ºÐ»ê °ø°£»öÀÎ
GR-tree
Sensor Network DB
In-network Spatial Query
Distributed Spatial Index
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