JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Routing Techniques for Data Aggregation in Sensor Networks |
| 영문제목(English Title) |
Routing Techniques for Data Aggregation in Sensor Networks |
| 저자(Author) |
Jeong-Joon Kim
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| 원문수록처(Citation) |
VOL 14 NO. 02 PP. 0396 ~ 0417 (2018. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
GR-tree and query aggregation techniques have been proposed for spatial query processing in conventional spatial query processing for wireless sensor networks. Although these spatial query processing techniques consider spatial query optimization, time query optimization is not taken into consideration. The index reorganization cost and communication cost for the parent sensor nodes increase the energy consumption that is required to ensure the most efficient operation in the wireless sensor node. This paper proposes itinerary-based R-tree (IR-tree) for more efficient spatial-temporal query processing in wireless sensor networks. This paper analyzes the performance of previous studies and IR-tree, which are the conventional spatial query processing techniques, with regard to the accuracy, energy consumption, and query processing time of the query results using the wireless sensor data with Uniform, Gauss, and Skew distributions. This paper proves the superiority of the proposed IR-tree-based space-time indexing.
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| 키워드(Keyword) |
Itinerary
R-tree
Routing
Sensor Networks
Spatio-temporal Data
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| 파일첨부 |
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