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題名 Verification of k-coverage on query line segments
作者 Juang, K.-H.;Wang, E.T.;Chiang, Chieh-Feng;Chen, Arbee L. P.
陳良弼
貢獻者 資科系
關鍵詞 Computation costs; Coverage problem; Intersection points; K-coverage; Line segment; Lower bounds; Synthetic datasets; Verification problems; Data processing; Database systems; Decision trees; Experiments; Sensor networks; Query processing
日期 2013-10
上傳時間 26-五月-2015 18:28:07 (UTC+8)
摘要 The coverage problem is one of the fundamental problems in sensor networks, which reflects the degree of a region being monitored by sensors. In this paper, we make the first attempt to address the k-coverage verification problem regarding a given query line segment, which returns all sub-segments from the line segment that are covered by at least k sensors. To deal with the problem, we propose three methods based on the R-tree index. The first method is the most primitive one, which identifies all intersection points of the query line segment and the circumferences of the covering regions of the sensors and then checks each sub-segment to see whether it is k-coverage. Improving from the first method, the second method calculates the lower bound of the number of sensors covering a specific sub-segment to reduce the computation costs. The third method partitions the query line segment into sub-segments with equal length and then verifies each of them. A series of experiments on a real dataset and two synthetic datasets are performed to evaluate these methods. The experiment results demonstrate that the third method has the best performance among all three methods. © 2013 ACM.
關聯 ACM International Conference Proceeding Series, 2013, 114-121, 17th International Database Engineering and Applications Symposium, IDEAS 2013; Barcelona; Spain; 9 October 2013 到 13 October 2013; 代碼 100668
資料類型 conference
DOI http://dx.doi.org/10.1145/2513591.2513639
dc.contributor 資科系
dc.creator (作者) Juang, K.-H.;Wang, E.T.;Chiang, Chieh-Feng;Chen, Arbee L. P.
dc.creator (作者) 陳良弼zh_TW
dc.date (日期) 2013-10
dc.date.accessioned 26-五月-2015 18:28:07 (UTC+8)-
dc.date.available 26-五月-2015 18:28:07 (UTC+8)-
dc.date.issued (上傳時間) 26-五月-2015 18:28:07 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75324-
dc.description.abstract (摘要) The coverage problem is one of the fundamental problems in sensor networks, which reflects the degree of a region being monitored by sensors. In this paper, we make the first attempt to address the k-coverage verification problem regarding a given query line segment, which returns all sub-segments from the line segment that are covered by at least k sensors. To deal with the problem, we propose three methods based on the R-tree index. The first method is the most primitive one, which identifies all intersection points of the query line segment and the circumferences of the covering regions of the sensors and then checks each sub-segment to see whether it is k-coverage. Improving from the first method, the second method calculates the lower bound of the number of sensors covering a specific sub-segment to reduce the computation costs. The third method partitions the query line segment into sub-segments with equal length and then verifies each of them. A series of experiments on a real dataset and two synthetic datasets are performed to evaluate these methods. The experiment results demonstrate that the third method has the best performance among all three methods. © 2013 ACM.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) ACM International Conference Proceeding Series, 2013, 114-121, 17th International Database Engineering and Applications Symposium, IDEAS 2013; Barcelona; Spain; 9 October 2013 到 13 October 2013; 代碼 100668
dc.subject (關鍵詞) Computation costs; Coverage problem; Intersection points; K-coverage; Line segment; Lower bounds; Synthetic datasets; Verification problems; Data processing; Database systems; Decision trees; Experiments; Sensor networks; Query processing
dc.title (題名) Verification of k-coverage on query line segments
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1145/2513591.2513639
dc.doi.uri (DOI) http://dx.doi.org/10.1145/2513591.2513639