Àüü
ÀüÀÚ/Àü±â
Åë½Å
ÄÄÇ»ÅÍ
·Î±×ÀÎ
ȸ¿ø°¡ÀÔ
About Us
ÀÌ¿ë¾È³»
¿¬±¸¹®Çå
±¹³» ³í¹®Áö
¿µ¹® ³í¹®Áö
±¹³» ÇÐȸÁö
Çмú´ëȸ ÇÁ·Î½Ãµù
±¹³» ÇÐÀ§ ³í¹®
³í¹®Á¤º¸
¹é¼
±³À°Á¤º¸
¿¬±¸ ù°ÉÀ½
ÇаúÁ¤º¸
°ÀÇÁ¤º¸
µ¿¿µ»óÁ¤º¸
E-Learning
¿Â¶óÀÎ Àú³Î
½ÉÈÁ¤º¸
¿¬±¸ ¹× ±â¼úµ¿Çâ
Áֿ俬±¸ÅäÇÈ
ÁÖ¿ä°úÁ¦ ¹× ±â°ü
Çؿܱâ°ü °ü·ÃÀÚ·á
¹ÙÀÌ¿À Á¤º¸±â¼ú
ÁÖ¿ä Archive Site
Æ÷Ä¿½ºiN
¿¬±¸ÀÚ Á¤º¸
¶óÀÌ¡½ºÅ¸
ÆÄ¿öiNÅͺä
¼¼ÁßÇÑ
¿¬±¸ÀÚ·á
¹®ÀÚ DB
¿ë¾î»çÀü
¾Ë¸²¸¶´ç
ºÎ½Ç ÇмúÈ°µ¿ ¿¹¹æ
³í¹®¸ðÁý
´ëȸ¾È³»
What's New
¿¬±¸ºñÁ¤º¸
±¸ÀÎÁ¤º¸
°øÁö»çÇ×
CSERIC ±¤Àå
Post-Conference
¿¬±¸ÀÚ Ä«Æä
ÀÚÀ¯°Ô½ÃÆÇ
Q&A
´Ý±â
»çÀÌÆ®¸Ê
¿¬±¸¹®Çå
±¹³» ³í¹®Áö
¿µ¹® ³í¹®Áö
±¹³» ÇÐȸÁö
Çмú´ëȸ ÇÁ·Î½Ãµù
±¹³» ÇÐÀ§ ³í¹®
³í¹®Á¤º¸
¹é¼
±³À°Á¤º¸
¿¬±¸ ù°ÉÀ½
ÇаúÁ¤º¸
°ÀÇÁ¤º¸
µ¿¿µ»óÁ¤º¸
E-Learning
¿Â¶óÀÎ Àú³Î
½ÉÈÁ¤º¸
¿¬±¸ ¹× ±â¼úµ¿Çâ
Áֿ俬±¸ÅäÇÈ
ÁÖ¿ä°úÁ¦ ¹× ±â°ü
Çؿܱâ°ü °ü·ÃÀÚ·á
¹ÙÀÌ¿À Á¤º¸±â¼ú
ÁÖ¿ä Archive Site
ÄÄÇ»ÅÍiN
¿¬±¸ÀÚ Á¤º¸
¿¬±¸ÀÚ·á
¹®ÀÚ DB
Ȧ·Î±×·¥ DB
¿ë¾î»çÀü
¾Ë¸²¸¶´ç
ºÎ½Ç ÇмúÈ°µ¿ ¿¹¹æ
³í¹®¸ðÁý
´ëȸ¾È³»
What's New
¿¬±¸ºñ Á¤º¸
±¸ÀÎÁ¤º¸
°øÁö»çÇ×
IT Daily
CSERIC ±¤Àå
Post-Conference
¿¬±¸ÀÚ Ä«Æä
ÀÚÀ¯°Ô½ÃÆÇ
Q&A
¼ºñ½º ¹Ù·Î°¡±â
¼³¹®Á¶»ç
¿¬±¸À±¸®
°ü·Ã±â°ü
Please wait....
¿¬±¸¹®Çå
±¹³» ³í¹®Áö
¿µ¹® ³í¹®Áö
±¹³» ÇÐȸÁö
Çмú´ëȸ ÇÁ·Î½Ãµù
±¹³» ÇÐÀ§ ³í¹®
³í¹®Á¤º¸
¹é¼
±¹³» ÇÐȸÁö
Ȩ > ¿¬±¸¹®Çå > ±¹³» ÇÐȸÁö >
µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)
µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)
Current Result Document :
2
/ 2
ÀÌÀü°Ç
ÇѱÛÁ¦¸ñ(Korean Title)
¹«¼± ¼¾¼ ³×Æ®¿öÅ©¿¡¼ °³¼±µÈ º¹ÇÕ ÁúÀÇ Ã³¸® ¾Ë°í¸®Áò
¿µ¹®Á¦¸ñ(English Title)
An Improved Hybrid Query Processing Algorithm in Wireless Sensor Networks
ÀúÀÚ(Author)
À±»óÈÆ
Á¶Çà·¡
¿ø¹®¼ö·Ïó(Citation)
VOL 23 NO. 02 PP. 0019 ~ 0033 (2007. 08)
Çѱ۳»¿ë
(Korean Abstract)
ÃÖ±Ù ¹«¼± Åë½Å°ú ÀüÀÚ ±â±âÀÇ ¹ßÀüÀ¸·Î ÃʼÒÇüÀÌ°í °í¼º´ÉÀ̸ç Àú·ÅÇÑ ¼¾¼ ³ëµå °³¹ßÀÌ °¡´ÉÇØÁ³´Ù. ¼¾¼ ³ëµåµéÀº ±³È¯À̳ª ÃæÀüÀÌ ¾î·Á¿î ¹èÅ͸®·Î µ¿ÀÛÇϹǷΠ¼¾¼ ³ëµåµéÀÇ ¿¡³ÊÁö ¼Ò¸ð¸¦ ÁÙÀÌ´Â °ÍÀº ¹«¼± ¼¾¼ ³×Æ®¿öÅ©(Wireless Sensor Networks: WSN)¿¡¼ Áß¿äÇÏ´Ù. º» ³í¹®Àº »ç¿ëÀÚµéÀÌ ´Ù¾çÇÑ Á¾·ùÀÇ ÁúÀǸ¦ »ç¿ëÇÏ¿© µ¥ÀÌÅ͸¦ ¿ä±¸ÇÒ ¶§, À̸¦ È¿°úÀûÀ¸·Î ó¸®Çϱâ À§ÇÑ °³¼±µÈ º¹ÇÕ ÁúÀÇ Ã³¸®(Improved Hybrid Query Processing: IHQP) ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÑ´Ù. IHQP´Â ¾Õ¼ ½ÇÇàµÈ ¿¬¼Ó ÁúÀÇ(continuous query)ÀÇ ½ÇÇà °á°ú·Î ij½ÌµÈ µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÏ¿© ¼ø°£ ÁúÀÇ(ad-hoc query)¸¦ ½ÇÇàÇÑ´Ù. ¶ÇÇÑ È¹µæÇÑ °á°úÀÇ Á¤È®µµ(accuracy)¿Í ȹµæÇϱâ À§ÇØ ¼ÒºñµÈ ¿¡³ÊÁö(energy consumption) ¼öÁØ »çÀÌ¿¡¼ ÀûÀýÇÑ trade-off¸¦ Á¦°øÇÑ´Ù. Á¦¾ÈÇÏ´Â IHQP ¾Ë°í¸®ÁòÀº ±âÁ¸ÀÇ º¹ÇÕ ÁúÀÇ Ã³¸® ¾Ë°í¸®Áò¿¡¼ ¿ä±¸µÇ´Â ¿¬¼Ó ÁúÀÇ¿Í ¼ø°£ ÁúÀÇ »çÀÌÀÇ Æ÷ÇÔ °ü°è¸¦ ÇÊ¿ä·Î ÇÏÁö ¾ÊÀ¸¸ç, ÁúÀÇÀÇ ÀüÆÄ, µ¥ÀÌÅÍ È¹µæ ¹× µ¥ÀÌÅÍÀÇ Àü¼Û¿¡¼ ¿¡³ÊÁö È¿À²ÀûÀ¸·Î µ¿ÀÛÇÑ´Ù.
¿µ¹®³»¿ë
(English Abstract)
Recent advances in wireless communications and electronics have enabled the development of lowcost, low-power, multi-functional sensors. A typical wireless sensor network (WSN) consists of a large number of sensor nodes that can measure and process data while communicating through wireless channels. Since sensor nodes have limited battery power, data processing algorithms in the WSN should be energy efficient. In this paper, we propose an improved hybrid query processing (IHQP) algorithm for user queries submitted to the WSN. IHQP inherits the advantages of previous hybrid query processing algorithm [8]. It reduces energy consumption of ad-hoc queries by using query results cached at each sensor node and exploits trade-off between energy consumption and data accuracy. Furthermore, IHQP can accept ad-hoc queries which are overlapped partially with the continuous query. This is not true in the previous hybrid algorithm, where the query region of an ad-hoc query should be included completely to that of the continuous query. We evaluate the performance of IHQP under a wide variety of query types.
Å°¿öµå(Keyword)
¼¾¼ ³×Æ®¿öÅ©
¼ø°£ ÁúÀÇ
¿¬¼Ó ÁúÀÇ
ÁúÀÇ ¿µ¿ª
¿¡³ÊÁö È¿À²¼º
Sensor Network
Ad-hoc Query
Continuous Query
Query Region
Energy Efficiency
ÆÄÀÏ÷ºÎ
PDF ´Ù¿î·Îµå
¸ñ·Ï
Copyright(c)
Computer Science Engineering Research Information Center
. All rights reserved.