DocumentCode :
653246
Title :
An Effective IoT Services Indexing and Query Technique
Author :
Chu Du ; Zhangbing Zhou ; Lei Shu ; Xiangyang Jia ; Qun Wang
Author_Institution :
China Univ. of Geosci. (Beijing), Beijing, China
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
777
Lastpage :
782
Abstract :
It is envisioned that billions of sensing devices are to be deployed for collecting context information in order to support intelligent and real-time decision support. Besides functionality specification, most devices have spatial and temporal limitations. In this setting, how to organize these sensing devices properly and thus to support searching devices w.r.t the requirement of certain users is a challenge. This paper proposes a multiple index method to organize sensing devices considering their functionality specification, spatial and temporal attributes, and develops a query mechanism leveraging this multiple indexes. This technique can support the searching of sensing devices efficiently.
Keywords :
Internet of Things; decision support systems; electric sensing devices; formal specification; indexing; query processing; search problems; spatiotemporal phenomena; IoT service indexing; context information collection; decision support; functionality specification; multiple index method; query technique; searching device; sensing device; spatial attribute; spatial limitation; temporal attribute; temporal limitation; Clustering algorithms; Educational institutions; Google; Sensors; Spatial indexes; Time measurement; Multiple Indexes; Query Mechanism; Sensing Devices; Spatial and Temporal Constraints;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.139
Filename :
6682153
Link To Document :
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