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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö C : ÄÄÇ»ÆÃÀÇ ½ÇÁ¦

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Current Result Document : 7 / 7 ÀÌÀü°Ç ÀÌÀü°Ç

ÇѱÛÁ¦¸ñ(Korean Title) ¹«¼± ¼¾¼­ ³×Æ®¿öÅ©¿¡¼­ ŽºÅ© ºÐÇظ¦ ÅëÇÑ È¿À²ÀûÀΠŽºÅ© ÇÒ´ç ±â¹ý
¿µ¹®Á¦¸ñ(English Title) Efficient Task Assignment Scheme in Wireless Sensor Networks via Task Decomposition
ÀúÀÚ(Author) ¹ÚÈñ¹Î   Heemin Park  
¿ø¹®¼ö·Ïó(Citation) VOL 18 NO. 02 PP. 0101 ~ 0109 (2012. 02)
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(Korean Abstract)
¼¾¼­³×Æ®¿öÅ©ÀÇ ¿¡³ÊÁö ¼Òºñ´Â ŽºÅ©¸¦ ³×Æ®¿öÅ© Àüü¿¡¼­ ¾î¶² ¼¾¼­ ³ëµå¿¡ ÇÒ´çÇÏ´À³Ä°¡ Å©°Ô Á¿ìÇÑ´Ù. º» ³í¹®¿¡¼­´Â ŽºÅ© ºÐÇØ¿Í º¯È¯À» ÀÌ¿ëÇÏ¿© ¹«¼± ¼¾¼­³×Æ®¿öÅ©ÀÇ ¼º´ÉÀ» Çâ»ó½ÃÅ°±â À§ÇÑ Å½ºÅ© ÇÒ´ç ±â¹ý¿¡ ´ëÇØ ±â¼úÇÑ´Ù. ŽºÅ© ºÐÇØ ¹× º¯È¯À» µ¿½Ã¿¡ Ç¥ÇöÇÏ´Â ºñ¿ë ÇÔ¼ö¸¦ Á¦½ÃÇÏ°í À̸¦ ÀÌ¿ëÇÏ¿© ŽºÅ© ÇÒ´ç ¹®Á¦¸¦ ÃÖÀûÈ­ ¹®Á¦·Î ¼ö½ÄÈ­ÇÑ´Ù. º» ³í¹®¿¡¼­ Á¦½ÃÇÑ ±â¹ýÀÇ ½ÇÈ¿¼º°ú ½ÇÇö °¡´É¼ºÀ» Áõ¸íÇϱâ À§ÇÏ¿© °¡»ó ¾î´Ò¸µ(simulated annealing) ±â¼úÀ» ÀÌ¿ëÇÏ¿© ŽºÅ© ÇÒ´ç ±â¹ýÀ» ±¸ÇöÇÏ¿´´Ù. ½ÇÇè °á°ú¸¦ ÅëÇØ ½ÅÁßÇÑ Å½ºÅ© ÇÒ´ç°ú ŽºÅ© ºÐÇظ¦ ÀÌ¿ëÇÏ¸é ¹«¼± ¼¾¼­³×Æ®¿öÅ©ÀÇ ¼º´ÉÀ» Å©°Ô Çâ»ó ½Ãų ¼ö ÀÖÀ½À» È®ÀÎÇÏ¿´´Ù.
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(English Abstract)
The energy consumption of a sensor network is significantly affected by task assignments to the nodes in the network. In this paper, a task assignment method to extend the lifetime of wireless sensor networks is presented that exploits task decomposition and transformation. The task assignment is formulated as an optimization problem by providing a cost function incorporating the task decomposition and transformation at the same time. To show the validity and feasibility of our proposed method, we implement a task assignment framework using a simulated annealing approach. The simulation results show that optimal assignments and task decomposition can significantly improve the lifetime of wireless sensor networks.
Å°¿öµå(Keyword) ¹«¼± ¼¾¼­ ³×Æ®¿öÅ©   ŽºÅ© ÇÒ´ç   ŽºÅ© ºÐÇØ   Wireless Sensor Networks   Task Assignments   Task Decomposition  
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