参与式感知中基于用户投票的数据可信性判定系统设计与实现
首发时间:2018-01-23
摘要:参与式感知是一种以人为中心的感知技术,用户在参与式感知中既是数据的提供者又是数据的消费者,因而参与式感知中所收集到的数据可信度十分重要。为保证数据的可信性,本文将LBS应用到参与式感知中数据可信判定的投票过程中,提出一种基于用户投票的数据可信性判定系统。该系统由客户端和服务器端组成,服务器端对客户端进行有针对性的投票任务推送,客户端将用户投票结果返回给服务器端,该系统使得目标范围更加精确,提高了数据采集效率和数据质量。
关键词: 计算机应用 参与式感知 基于位置的服务 数据可信性 投票
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Design and Implementation of Data Credibility Judgment System Based on User Voting in Participatory Sensing
Abstract:Participatory sensing is a kind of people-centered sensing technology, users in participatory sensing are not only data consumers but also data providers. Therefore, the trustworthiness of the data collected in participatory sensing is very important. In order to ensure the credibility of the data, this paper applies Location Based Service (LBS) to the voting process of participative perceptual data credible decision, proposes a data credibility judgment system based on user voting. The system includes client and server. The server carries out the targeted voting task pushing to the client. The client returns the result of the user voting to the server. The system makes the target range more accurate and improves the efficiency of data collection and data quality .
Keywords: Computer Application Participatory Sensing Location Based Service Data Credibility Voting
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