Complex Event Processing for Sensor Stream Data
As a large amount of stream data are generated through sensors over the Internet of Things environment, studies on complex event processing have been conducted to detect information required by users or specific applications in real time. A complex event is made by combining primitive events through...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/9/3084 |
| _version_ | 1811302434984689664 |
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| author | Kyoungsoo Bok Daeyun Kim Jaesoo Yoo |
| author_facet | Kyoungsoo Bok Daeyun Kim Jaesoo Yoo |
| author_sort | Kyoungsoo Bok |
| collection | DOAJ |
| description | As a large amount of stream data are generated through sensors over the Internet of Things environment, studies on complex event processing have been conducted to detect information required by users or specific applications in real time. A complex event is made by combining primitive events through a number of operators. However, the existing complex event-processing methods take a long time because they do not consider similarity and redundancy of operators. In this paper, we propose a new complex event-processing method considering similar and redundant operations for stream data from sensors in real time. In the proposed method, a similar operation in common events is converted into a virtual operator, and redundant operations on the same events are converted into a single operator. The event query tree for complex event detection is reconstructed using the converted operators. Through this method, the cost of comparison and inspection of similar and redundant operations is reduced, thereby decreasing the overall processing cost. To prove the superior performance of the proposed method, its performance is evaluated in comparison with existing methods. |
| first_indexed | 2024-04-13T07:27:46Z |
| format | Article |
| id | doaj.art-63d75c286ac6450d964ca5084981c480 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:27:46Z |
| publishDate | 2018-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-63d75c286ac6450d964ca5084981c4802022-12-22T02:56:26ZengMDPI AGSensors1424-82202018-09-01189308410.3390/s18093084s18093084Complex Event Processing for Sensor Stream DataKyoungsoo Bok0Daeyun Kim1Jaesoo Yoo2Department of Information and Communication Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, KoreaDepartment of Big Data, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, KoreaDepartment of Information and Communication Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, KoreaAs a large amount of stream data are generated through sensors over the Internet of Things environment, studies on complex event processing have been conducted to detect information required by users or specific applications in real time. A complex event is made by combining primitive events through a number of operators. However, the existing complex event-processing methods take a long time because they do not consider similarity and redundancy of operators. In this paper, we propose a new complex event-processing method considering similar and redundant operations for stream data from sensors in real time. In the proposed method, a similar operation in common events is converted into a virtual operator, and redundant operations on the same events are converted into a single operator. The event query tree for complex event detection is reconstructed using the converted operators. Through this method, the cost of comparison and inspection of similar and redundant operations is reduced, thereby decreasing the overall processing cost. To prove the superior performance of the proposed method, its performance is evaluated in comparison with existing methods.http://www.mdpi.com/1424-8220/18/9/3084complex eventsimilar operationredundant operationquery treeevent detection |
| spellingShingle | Kyoungsoo Bok Daeyun Kim Jaesoo Yoo Complex Event Processing for Sensor Stream Data Sensors complex event similar operation redundant operation query tree event detection |
| title | Complex Event Processing for Sensor Stream Data |
| title_full | Complex Event Processing for Sensor Stream Data |
| title_fullStr | Complex Event Processing for Sensor Stream Data |
| title_full_unstemmed | Complex Event Processing for Sensor Stream Data |
| title_short | Complex Event Processing for Sensor Stream Data |
| title_sort | complex event processing for sensor stream data |
| topic | complex event similar operation redundant operation query tree event detection |
| url | http://www.mdpi.com/1424-8220/18/9/3084 |
| work_keys_str_mv | AT kyoungsoobok complexeventprocessingforsensorstreamdata AT daeyunkim complexeventprocessingforsensorstreamdata AT jaesooyoo complexeventprocessingforsensorstreamdata |