µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)
ÇѱÛÁ¦¸ñ(Korean Title) |
µ¥ÀÌÅÍ Á᫐ ÀúÀå ȯ°æ¿¡¼ ³ôÀº Á¤È®µµ¸¦ °®´Â ¼Ò½Ç µ¥ÀÌÅÍ º¸Á¤ ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
A Data Recovery Method for High Accuracy in Data Centric Storage Schemes |
ÀúÀÚ(Author) |
¹ÚÁØÈ£
À¯¼®Á¾
¼ºµ¿¿í
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JunHo Park
SeokJong Yu
DongOok Seong
JaeSoo Yoo
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¿ø¹®¼ö·Ïó(Citation) |
VOL 27 NO. 01 PP. 0073 ~ 0084 (2011. 04) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
In wireless sensor networks (WSNs), various data-centric storage (DCS) schemes have been proposed to store the collected data and to efficiently process a query. The DCS scheme assigns divided data regions to sensor nodes and stores the collected data to the sensor which is responsible for the data region to process the query efficiently. However, since the whole data stored in a node will be lost when the fault of a node occurs, the accuracy of the query processing becomes low. To solve such a problem, we propose a new data correction method for high accuracy in DCS schemes with faults. The proposed method assures the high accuracy of the query result in the case of data losses due to the faults of the nodes in the DCS scheme. When a data loss occurs, the proposed method generates a compensation model against the area of the data loss data distribution patterns and data variation rate of the data. It returns the query results including virtual data by using the compensation model. Therefore, it guarantees the query result with high accuracy in spite of the faults of the nodes. To show the superiority of our proposed method, we compare the proposed method with the conventional data"]loss correction method. In the result, the proposed method shows about 19% accuracy rates on average in the various data sets.
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Å°¿öµå(Keyword) |
¼¾¼³×Æ®¿öÅ©
µ¥ÀÌÅÍÁß½ÉÀúÀå±â¹ý
ÀÎ-³×Æ®¿öÅ©ÁúÀÇó¸®
°áÇÔ
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Wireless Sensor Networks
Data-Centric Storage Scheme
In-Network Query Processing
Faults
Compensation Model
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