计算机科学 ›› 2015, Vol. 42 ›› Issue (12): 152-156.

• 第十三届全国软件与应用学术会议 • 上一篇    下一篇

面向复杂物联网应用的上下文质量感知技术研究

郑笛,贲可荣,王 俊   

  1. 海军工程大学电子工程学院计算机工程系 武汉430033,海军工程大学电子工程学院计算机工程系 武汉430033,空军预警学院兵器运用工程军队重点实验室 武汉430019
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金项目(61100041),中国博士后基金项目 (2012M512131)资助

Research of Quality-aware Contexts Management for Complex IOT Applications

ZHENG Di, BEN Ke-rong and WANG Jun   

  • Online:2018-11-14 Published:2018-11-14

摘要: 随着物联网应用的快速发展,传感信息日益多元化,传感器网络规模广域化,底层传感器网络构成异构化,传感信息数量大数据化,相应地,这也使得底层传感信息中所蕴含的不一致性、不完整性、不准确性等影响信息质量的因素大大增加。而传统的上下文感知技术没有充分考虑上下文质量对感知过程的影响,因此,在现有的上下文感知系统框架的基础上,充分研究不一致性、不完整性、不准确性等低质量传感器上下文的消除问题,通过上下文质量因子分类配置、不准确与不一致上下文丢弃、不完整上下文填充等方法实现了不同层次的控制机制,降低了信息的不确定性,从而有效提高了物联网应用的上下文处理质量。

关键词: 物联网,上下文感知,上下文质量,传感器网络

Abstract: With the rapid development of IOT,it will lead to more multiple-dimensional and more numerous information with wide-area and heterogeneous sensor networks.Accordingly,the information from these kinds of networks may be more uncertain,incomplete,inconsistent and inaccurate.Therefore,we proposed a context management framework based on research of eliminating incomplete,inconsistent and inaccurate contexts.In this framework,we used quality factors configuration for contexts,regarding methods for inconsistent and inaccurate contexts as well as filling methods for incomplete contexts.Results show that the method can reduce the uncertainty of the contexts and improve the quality of the IOT applications efficiently.

Key words: IOT,Context-aware,Quality of context,Sensor networks

[1] Vermesan.Internet of Things:Strategic Research Roadmap.http://www.internet-of-things-research.eu/pdf/IoT_Cluster_Strategic_Research_Agenda_2011.pdf
[2] Wang J,et al.A study on wireless sensor network based indoor positioning systems for context-aware applications[J].Wireless Communications and Mobile Computing,2012,12(1):53-70
[3] Claudio,et al.A survey of context modeling and reasoning techniques[J].Pervasive and Mobile Computing,2010,6(2):161-180
[4] Gaia Group.http://gaia.cs.uiuc.edu
[5] Gu T,Pung H K,Zhang D Q.A Service-Oriented Middleware for Building Context-Aware Services[J].Elsevier Journal of Network and Computer Applications,2004,28(1):1-18
[6] Chen H.An Intelligent Broker Architecture for Pervasive Context-Aware Systems[D].University of Maryland,2004
[7] Chen H,Finin T,Joshi A.An ontology for context-aware pervasive computing environments[J].Special Issue on Ontologies for Distributed Systems,Knowledge Engineering Review,2003,18(3)
[8] Hong J I.An Architecture for Privacy-Sensitive UbiquitousComputing[D].University of California,Berkeley,2005
[9] Dempster A P,Laird N M,Rubin D B.Maximum likelihood from incomplete data via the EM algorithm[J].Journal of the Royal Statistical Society(Series B),1977,39(1):1-38
[10] Roy N,et al.Resource-Optimized Quality-Assured Ambiguous Context Mediation Framework in Pervasive Environments[J].IEEE Transactions on Mobile Computing,2012,11(2):218-229
[11] Sheikh K,Wegdam M,van Sinderen M.Quality-of-context and its use for protecting privacy in context aware systems[J].JSW,2008,1(3):83-93
[12] Manzoor A,Truong H L,Dustdar S.On the evaluation of quality of context[C]∥Smart Sensing and Context,Third European Conference(EuroSSC).2008:140-153
[13] Filho.Modeling and Measuring Quality of Context Information in Pervasive Environments[C]∥Proc of 24th IEEE Internatio-nal Conference on Advanced Information Networking and Applications.2010:690-697
[14] Sheikh K,Wegdam M,van Sinderen M.Middleware support for quality of context in pervasive context-aware systems[C]∥PERCOMW’07.Washington DC,USA:IEEE Computer Society.2007:461-466
[15] Sheikh K,Wegdam M,van Sinderen M.Quality-of-context and its use for protecting privacy in context aware systems[J].JSW, 2008,3(3):83-93

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