Opportunistic Smart Object Aggregation based on Clustering and Event Processing

被引:0
作者
Terroso-Saenz, Fernando [1 ]
Hernandez-Ramos, Jose L. [1 ]
Bernal Bernabe, Jorge [1 ]
Skarmeta, Antonio F. [1 ]
机构
[1] Univ Murcia, Fac Comp Sci, Dept Informat & Commun Engn, E-30001 Murcia, Spain
来源
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2016年
关键词
IoT; smart object relationship; Big Data; Clustering; CEP; INTERNET;
D O I
10.1109/ICC.2016.7511258
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the envisioned Internet of Things ecosystems, Smart objects are intended to create groups of devices in order to provide higher level services to be leveraged by citizens. However, because of the dynamic nature of such scenarios, the discovery, management and operation of such dynamic coalitions taking into account security and privacy concerns, is a challenging task that has not been properly addressed yet. In this sense, the present proposal devises a novel approach to automatically compose opportunistic aggregations of objects (bubbles) based on Complex Event Processing (CEP) and fuzzy clustering. While the former detects certain events that could give raise to discover new bubbles, the latter allows compose aggrupations of similar objects acting as candidate bubbles. Finally, the application of the proposal in an educational domain is put forward.
引用
收藏
页数:6
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