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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ¼öÁß ¼¾¼­ ³×Æ®¿öÅ©¿¡¼­ ÃÖ¼Ò ºñ¿ë À§Ä¡ °áÁ¤ ¹®Á¦¸¦ À§ÇÑ Å¸ºÎ ¼­Ä¡ ¾Ë°í¸®Áò
¿µ¹®Á¦¸ñ(English Title) A Tabu Search Algorithm for Minimum Cost Localization Problem in Underwater
ÀúÀÚ(Author) Àå±æ¿õ   Kil-woong Jang  
¿ø¹®¼ö·Ïó(Citation) VOL 21 NO. 05 PP. 0929 ~ 0935 (2017. 05)
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(Korean Abstract)
ÀϹÝÀûÀ¸·Î ¼öÁß ¼¾¼­ ³×Æ®¿öÅ©¿¡¼­ ¸ðµç ¼¾¼­ ³ëµå´Â À§Ä¡°¡ °áÁ¤µÈ ¾ÞÄ¿ ³ëµå¸¦ ÀÌ¿ëÇÏ¿© ÀÚ½ÅÀÇ À§Ä¡¸¦ °áÁ¤ÇÑ´Ù. º» ³í¹®¿¡¼­´Â ¼öÁß ¼¾¼­ ³×Æ®¿öÅ©¿¡¼­ ¸ðµç ¼¾¼­ ³ëµåÀÇ À§Ä¡¸¦ °áÁ¤Çϱâ À§ÇØ ÃÖ¼ÒÀÇ ¼ö¸¦ °¡Áø ¾ÞÄ¿ ³ëµå¸¦ °áÁ¤Çϱâ À§ÇÑ Å¸ºÎ ¼­Ä¡ ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÑ´Ù. ³×Æ®¿öÅ©¿¡¼­ ¼¾¼­ ³ëµåÀÇ ¼ö°¡ Áõ°¡ÇÔ¿¡ µû¶ó ¾ÞÄ¿ ³ëµåÀÇ ¼ö¸¦ °áÁ¤ÇÏ´Â °è»ê·®Àº ±Þ°ÝÈ÷ ´Ã¾î³ª°Ô µÈ´Ù. º» ³í¹®¿¡¼­´Â ¹ÐÁýµµ°¡ ³ôÀº ³×Æ®¿öÅ©¿¡¼­ ÀûÁ¤ÇÑ ½Ã°£ ³»¿¡ ÃÖ¼ÒÀÇ ¾ÞÄ¿ ³ëµå¼ö¸¦ °áÁ¤Çϴ ŸºÎ ¼­Ä¡ ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇϸç, È¿À²ÀûÀÎ °Ë»öÀ» À§ÇØ Å¸ºÎ ¼­Ä¡ ¾Ë°í¸®ÁòÀÇ È¿°úÀûÀÎ ÀÌ¿ôÇØ »ý¼º µ¿ÀÛÀ» Á¦¾ÈÇÑ´Ù. Á¦¾ÈµÈ ¾Ë°í¸®ÁòÀº ÃÖ¼Ò ¾ÞÄ¿ ³ëµåÀÇ ¼ö¿Í ½ÇÇà½Ã°£ °üÁ¡¿¡¼­ ¼º´ÉÀ» Æò°¡Çϸç, Æò°¡ °á°ú¿¡¼­ Á¦¾ÈµÈ ¾Ë°í¸®ÁòÀÌ ±âÁ¸ÀÇ ¾Ë°í¸®Áò¿¡ ºñÇØ ¼º´ÉÀÌ 5-10% ¿ì¼öÇÔÀ» º¸ÀδÙ.
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(English Abstract)
All sensor nodes generally determine their positions using anchor nodes that are located in underwater sensor networks. This paper proposes a Tabu search algorithm to determine the minimum number of anchor nodes for the location of all sensor nodes in underwater sensor networks. As the number of the sensor nodes increases in the network, the amount of calculation that determines the number of anchor nodes would be too much increased. In this paper, we propose a Tabu search algorithm that determines the minimum number of anchor nodes within a reasonable computation time in a high dense network, and propose an efficient neighborhood generating operation of the Tabu search algorithm for efficient search. The proposed algorithm evaluates those performances through some experiments in terms of the minimum number of anchor nodes and execution time. The proposed algorithm shows 5-10% better performance than the conventional algorithm.
Å°¿öµå(Keyword) ¼öÁß ¼¾¼­ ³×Æ®¿öÅ©   ŸºÎ ¼­Ä¡   À§Ä¡ °áÁ¤   ¸ÞŸ ÈÞ¸®½ºÆ½   Underwater sensor networks   Tabu search   localization   meta-heuristic  
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