• Àüü
  • ÀüÀÚ/Àü±â
  • Åë½Å
  • ÄÄÇ»ÅÍ
´Ý±â

»çÀÌÆ®¸Ê

Loading..

Please wait....

±¹³» ³í¹®Áö

Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö D : µ¥ÀÌŸº£À̽º

Á¤º¸°úÇÐȸ ³í¹®Áö D : µ¥ÀÌŸº£À̽º

Current Result Document : 4 / 12 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) ¼¾¼­ ³×Æ®¿öÅ©¿¡¼­ µ¥ÀÌÅÍ ¾ÐÃàÀ» À§ÇÑ Çǵå¹é ¹èÆ÷ ±â¹ý
¿µ¹®Á¦¸ñ(English Title) A Feedback Diffusion Algorithm for Compression of Sensor Data in Sensor Networks
ÀúÀÚ(Author) ¿©¸íÈ£   ¼ºµ¿¿í   Á¶¿ëÁØ   À¯Àç¼ö   Myung Ho Yeo   Dong Ook Seong   Yong Jun Cho   Jae Soo Yoo  
¿ø¹®¼ö·Ïó(Citation) VOL 37 NO. 02 PP. 0082 ~ 0091 (2010. 04)
Çѱ۳»¿ë
(Korean Abstract)
³×Æ®¿öÅ© ºÐ¾ß¿¡¼­ µ¥ÀÌÅÍ ¾ÐÃàÀº ³×Æ®¿öÅ© Æ®·¡ÇÈÀ» ÁÙÀ̱â À§ÇÑ ÀüÅëÀûÀÌ°í È¿°úÀûÀÎ ¹æ¹ý Áß ÇϳªÀÌ´Ù. ¼¾¼­ ³×Æ®¿öÅ©ÀÇ µ¥ÀÌÅÍ´Â ½Ã/°ø°£ÀûÀÎ ¿¬°ü¼ºÀ» °¡Áö°í ÀÖÀ¸¸ç, ÀÌ·¯ÇÑ Æ¯¼ºÀ» ÀÌ¿ëÇÑ µ¥ÀÌÅÍ ¾ÐÃà ±â¹ýµéÀÌ ¸¹ÀÌ ¿¬±¸µÇ°í ÀÖ´Ù. ¼¾¼­ ³ëµå´Â Á¦ÇÑµÈ ¹üÀ§³»ÀÇ Åë½ÅÀÌ °¡´ÉÇϸç, ÀÚ½ÅÀÇ Åë½Å ¹Ý°æ ³»ÀÇ µ¥ÀÌÅ͸¸À» È°¿ëÇÑ´Ù. ¸¸¾à ³×Æ®¿öÅ©ÀÇ Àüü µ¥ÀÌÅÍ ºÐÆ÷ Ư¼ºÀ» È°¿ëÇÒ ¼ö ÀÖ´Ù¸é, µ¥ÀÌÅÍ ¾ÐÃàÀÇ È¿À²À» Áõ°¡½Ãų ¼ö ÀÖ´Ù. º» ³í¹®¿¡¼­´Â ³×Æ®¿öÅ© Àüü µ¥ÀÌÅÍ ºÐÆ÷ Ư¼ºÀ» È°¿ëÇϱâ À§ÇÑ »õ·Î¿î Á¢±ÙÀÇ Çǵå¹é ¹èÆ÷ ±â¹ýÀ» ÅëÇÑ µ¥ÀÌÅÍ ¾ÐÃà ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. Á¦¾ÈÇÏ´Â ±â¹ýÀº ±âÁö±¹ ȤÀº ½´ÆÛ ³ëµå¿¡ ÀÇÇØ ¼öÁýµÈ µ¥ÀÌÅÍÀÇ ºóµµ¸¦ ÀÌ¿ëÇÏ¿© ÇãÇÁ¸¸ Äڵ带 »ý¼ºÇÏ°í, ¹èÆ÷ÇÔÀ¸·Î½á ³×Æ®¿öÅ© ÀüüÀÇ µ¥ÀÌÅÍ ¾ÐÃàÀ» ¿ëÀÌÇÏ°Ô ÇÑ´Ù. º» ³í¹®ÀÇ ¿ì¼ö¼ºÀ» º¸À̱â À§Çؼ­ ½Ã¹Ä·¹À̼ÇÀ» ÅëÇØ ¼º´É Æò°¡¸¦ ¼öÇàÇÏ¿´À¸¸ç ±× °á°ú ³×Æ®¿öÅ©ÀÇ ¼ö¸íÀÌ ¾à 30% Áõ°¡ÇÏ¿´´Ù.
¿µ¹®³»¿ë
(English Abstract)
Data compression technique is traditional and effective to reduce network traffic. Generally, sensor data exhibit strong correlation in both space and time. Many algorithms have been proposed to utilize these characteristics. However, each sensor just utilizes neighboring information, because its communication range is restrained. Information that includes the distribution and characteristics of whole sensor data provide other opportunities to enhance the compression technique. In this paper, we propose an orthogonal approach for compression algorithm based on a novel feedback diffusion algorithm in sensor networks. The base station or a super node generates the Huffman code for compression of sensor data and broadcasts it into sensor networks. Every sensor that receives the information compresses their sensor data and transmits them to the base station. We define this approach as feedback-diffusion. In order to show the superiority of our approach, we compare it with the existing aggregation algorithms in terms of the lifetime of the sensor network. As a result, our experimental results show that the whole network lifetime was prolonged by about 30%.
Å°¿öµå(Keyword) ¼¾¼­ ³×Æ®¿öÅ©   Çǵå¹é ¹èÆ÷   µ¥ÀÌÅÍ ¾ÐÃà   ÇãÇÁ¸¸ ÄÚµù   sensor network   feedback diffusion   data compression   huffman code  
ÆÄÀÏ÷ºÎ PDF ´Ù¿î·Îµå