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Effective Context Inconsistency Elimination Algorithm Based on Feedback and Reliability Distribution for loV

Effective Context Inconsistency Elimination Algorithm Based on Feedback and Reliability Distribution for loV
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摘要 In recent years,context aware technology has been widely used in many fields,such as internet of vehicles(IoV).Consistent context information plays a vital role in adapting a system to rapidly changing situations.However,sensor's precision variance,equipment heterogeneity,network delay and the difference of statistical algorithms can lead to inconsistency context and inappropriate services.In this paper,we present an effective algorithm of context inconsistent elimination which is based on feedback and adjusted basic reliability distribution.Through feedback,each sensor's perception precision can be obtained,and with the adjusted basic reliability distribution scheme,we can make full use of all context information by adjusting the influence of every context on whole judgment based on sensor's perception precision and threshold of sensor's perception precision,and then eliminate context inconsistency.In order to evaluate the performance of the proposed context inconsistency elimination algorithm,context aware rate is defined.The simulation results show that the proposed context inconsistency elimination algorithm can obtain the best context aware rate in most cases for the varied error rates of sensors. In recent years, context aware technology has been widely used in many fields, such as internet of vehicles （IoV）. Consistent context information plays a vital role in adapting a system to rapidly changing situations. However, sensor＇s precision variance, equipment heterogeneity, network delay and the difference of statistical algorithms can lead to inconsistency context and inappropriate services. In this paper, we present an effective algorithm of context inconsistent elimination which is based on feedback and adjusted basic reliability distribution. Through feedback, each sensor＇s perception precision can be obtained, and with the adjusted basic reliability distribution scheme, we can make full use of all context information by adjusting the influence of every context on whole judgment based on sensor＇s perception precision and threshold of sensor＇s perception precision, and then eliminate context inconsistency. In order to evaluate the performance of the proposed context inconsistency elimination algorithm, context aware rate is defined. The simulation results show that the proposed context inconsistency elimination algorithm can obtain the best context aware rate in most cases for the varied error rates of sensors.
作者 XU Hongji WANG Leitao XIONG Hailiang DU Zhengfeng XIE Zhigang
机构地区 School of Information Science and Engineering Department of Digital Media Linking Photoelectron Information Technology
出处 《China Communications》 SCIE CSCD 2014年第10期16-28,共13页 中国通信（英文版）
基金 supported by Scientific Research Foundation for the Excellent Young and Middle-aged Scientists of Shandong Province(No.BS2012DX024) Independent Innovation Foundation of Shandong University(No.2012ZD035) Technical Innovative Project of Shandong Province(No.201230201031,No.201320201024)
关键词 inconsistency elimination contextaware FEEDBACK Dempster-Shafer evidencetheory internet of vehicles 上下文信息 可靠性分布 消除算法 不一致性 反馈 感知技术 传感器 网络连接
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论] TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献33

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China Communications
2014年 第10期

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