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题名: SR-tree: An index structure of sensor management system for spatial approximate query
作者: Tong X(佟星) ; Liu Y(刘阳) ; Shi Z(施昭) ; Ceng P(曾鹏) ; Yu HB(于海斌)
作者部门: 工业控制网络与系统研究室
会议名称: 3rd International Conference on Materials Science and Information Technology, MSIT 2013
会议日期: September 14-15, 2013
会议地点: Nanjing, Jiangsu, China
会议主办者: Trans tech publications inc.; Computer Science and Electronic Technology; BITS Narsampet; Universitatea Politehnica Din Bucuresti
会议录: Advanced Materials Research
会议录出版者: Trans Tech Publications Ltd,
会议录出版地: Zurich-Durnten, Switzerland
出版日期: 2013
页码: 885-889
收录类别: EI
ISSN号: 1022-6680
ISBN号: 9783037857700
关键词: Decision trees ; Forestry ; Information technology ; Internet ; Management ; Materials science
摘要: Sensor management plays an important role in the field of Internet of Things. Therefore, the requests of spatial approximate query increase dramatically. Indexing is no doubt a feasible way for efficient spatial approximate search. However, there is a lack of an effective index structure for spatial approximate query. In this paper, we propose a new type of index structure called SR-tree for providing more intelligent retrieval, which is based on R-tree and inverted table. Our index can support for spatial approximate search and work freely either in memory or external memory. The experimental results show that the structure proposed can provide high scalability and fast response time. © (2013) Trans Tech Publications, Switzerland.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13886
Appears in Collections:工业控制网络与系统研究室_会议论文

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Recommended Citation:
佟星; 刘阳; 施昭; 曾鹏; 于海斌.SR-tree: An index structure of sensor management system for spatial approximate query.见:Trans Tech Publications Ltd,.Advanced Materials Research,Zurich-Durnten, Switzerland,2013,885-889
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