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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) i-LEACH : ·£´ý¹èÄ¡ °íÁ¤Çü WSN¿¡¼­ Çì´õ¼ö °íÁ¤ Ŭ·¯½ºÅ͸µ ¾Ë°í¸®Áò
¿µ¹®Á¦¸ñ(English Title) i-LEACH : Head-node Constrained Clustering Algorithm for Randomly-Deployed WSN
ÀúÀÚ(Author) ±èâÁØ   À̵οϠ  Àå°æ½Ä   Chang-Joon Kim   Doo-Wan Lee   Kyung-Sik Jang  
¿ø¹®¼ö·Ïó(Citation) VOL 16 NO. 01 PP. 0198 ~ 0204 (2012. 01)
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(Korean Abstract)
¹«¼±¼¾¼­ ³×Æ®¿öÅ©ÀÇ °èÃþ±¸Á¶Çü Ŭ·¯½ºÅ͸µ ¾Ë°í¸®ÁòÀº ¼¾¼­³ëµåÀÇ È¿À²ÀûÀÎ °ü¸®¸¦ À§Çؼ­ ´Ù¾çÇÑ ºÐ¾ß¿¡ »ç¿ëÇÏ°í ÀÖ´Ù. °èÃþÇü Ŭ·¯½ºÅ͸µ ±¸Á¶¿¡ ¸¹ÀÌ »ç¿ëµÇ´Â LEACH(Low Energy Adaptive Clustering Hierarchy)´Â È®·ü ÇÔ¼ö½ÄÀ» »ç¿ëÇϱ⠶§¹®¿¡ Ŭ·¯½ºÅÍ Çìµå³ëµåÀÇ ¼±Ãâ °³¼ö°¡ ÀÏÁ¤ÇÏÁö ¾Ê´Ù. º» ³í¹®¿¡¼­´Â LEACH ¾Ë°í¸®ÁòÀÇ ´ÜÁ¡À» º¸¿ÏÇÏ¿© ¸Å ¶ó¿îµå¸¶´Ù °íÁ¤µÈ °³¼öÀÇ Å¬·¯½ºÅÍ Çìµå³ëµå¸¦ ¼±ÃâÇÏ´Â i-LEACH ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÑ´Ù. i-LEACH(improved-LEACH)´Â BSÀÌ °íÁ¤µÈ °³¼öÀÇ Å¬·¯½ºÅÍ Çìµå³ëµå¸¦ ¼±ÃâÇÏ¿© ³×Æ®¿öÅ© Àüü¿¡ Å뺸Çϱ⠶§¹®¿¡ Ŭ·¯½ºÅ͸µ ±¸¼º°úÁ¤ÀÇ ³×Æ®¿öÅ© Æ®·¡ÇÈ·®À» ÁÙÀÏ ¼ö ÀÖ°í, ³×Æ®¿öÅ©ÀÇ ¿¡³ÊÁö¸¦ È¿À²ÀûÀ¸·Î °ü¸®ÇÒ ¼ö ÀÖ´Ù. Á¦¾ÈÇÑ i-LEACH¿Í LEACH¸¦ ½Ã¹Ä·¹ÀÌ¼Ç ÇÑ °á°ú i-LEACH¿¡¼­´Â Ŭ·¯½ºÅÍ Çìµå³ëµåÀÇ ¼±Ãâ°úÁ¤ÀÌ Á¦¿ÜµÇ¾ú±â ¶§¹®¿¡ LEACH º¸´Ù ¼ÒºñµÈ Àü·Â·®Àº 25%, ³×Æ®¿öÅ© Æ®·¡ÇÈ ·®Àº 16% Çâ»óµÇ¾ú´Ù.
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(English Abstract)
Generally, the clustering of sensor nodes in WSN is a useful mechanism that helps to cope with scalability problem and, if combined with network data aggregation, may increase the energy efficiency of the network. The Hierarchical clustering routing algorithm is a typical algorithm for enhancing overall energy efficiency of network, which selects cluster-head in order to send the aggregated data arriving from the node in cluster to a base station. In this paper, we propose the improved-LEACH that uses comparably simple and light-weighted policy to select cluster-head nodes, which results in reduction of the clustering overhead and overall power consumption of network. By using fine-grained power model, the simulation results show that i-LEACH can reduce clustering overhead compared with the well-known previous works such as LEACH. As result, i-LEACH algorithm and LEACH algorithm was compared, network power-consumption of i-LEACH algorithm was improved than LEACH algorithm with 25%, and network-traffic was improved 16%.
Å°¿öµå(Keyword) ¹«¼±¼¾¼­ ³×Æ®¿öÅ©   Ŭ·¯½ºÅ͸µ ¾Ë°í¸®Áò   ³×Æ®¿öÅ© ÅäÆú·ÎÁö   °èÃþ±¸Á¶Çü   WSN   Clustering Algorithm   Network topology   Hierarchical  
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