A Decentralized Locality-preserving Context-aware Service Discovery Framework for the Internet of Things

被引:19
|
作者
Li, Juan [1 ]
Zaman, Nazia [1 ]
Li, Honghui [2 ]
机构
[1] N Dakota State Univ, Dept Comp Sci, Fargo, ND 58105 USA
[2] Inner Mongolia Agr Univ, Coll Comp & Informat Engn, Hohhot, Peoples R China
来源
2015 IEEE 12TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2015) | 2015年
关键词
Internet of Things; discovery; context-aware; semantics;
D O I
10.1109/SCC.2015.51
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Today's Internet is shifting towards a larger and smarter scenario known as the Internet of Things (IoTs). The IoT envisions a multitude of heterogeneous objects and interactions with physical environments. In this environment, locating desirable services is challenging due to the considerable diversity, large number, dynamic behavior, and geographical distribution of the services provided by physical objects. In this paper, we propose a context-aware semantics-based service discovery mechanism - LOCA that can effectively locate services based on the context requirements. The proposed discovery framework is built on a fully distributed peer-to-peer (P2P) architecture which is scalable and robust. Moreover, a key feature of the discovery mechanism is its support of content and path locality. This feature can enhance the integrity of an organization and thus greatly improve the security of the organization. The effectiveness of the proposed framework is demonstrated through comprehensive simulation studies.
引用
收藏
页码:317 / 323
页数:7
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