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机构地区:[1]广东工程职业技术学院信息工程学院 [2]重庆大学信息工程学院
出 处:《微型电脑应用》2016年第3期33-36,共4页Microcomputer Applications
基 金:国家自然科学项目资助(61472051/F020302)
摘 要:对一组移动设备进行数据采集是新兴移动感知系统的重要组成部分。然而现有的数据采集方法在Wi-Fi网络环境下可用于数据上传的机会型有限,不适用于大规模移动感知场景下的数据传输服务。为此,针对传感器数据采集提出一种基于机会型网络的高效信息传输协议。仿真结果表明,该方法可在连接探查间隔不变的情况下将消息传输性能提升16%–83%,信息传输延时也要低于已有方法。Data collection from a crowd of mobile devices is an essential building block of emerging mobile sensing systems. However, the existing data collection methods cannot be used for the data upload service in the Wi-Fi network environment, and cannot be used for data transfer service in the large scale mobile sensing scene. To solve this problem, an efficient information dissemin- ation protocol for sensor data collection is proposed via an opportunistic network in this paper. The proposed method firstly detects groups of pedestrians based on the history of radio connectivity between the nodes and maintains a local network(i.e., a cluster) among the detected group members, in order to realize the sensor data sharing between the mobile devices. By collaboratively performing neighbor nodes detection and link management with the cluster members, it enhances energy-efficiency of the neighbor discovery and minimizes the information delivery delay. Simulation results show that the proposed method can improve the message delivery performance by 16%-83% with equivalent contact probing intervals, and the delay of information transmission is also lower than the existing methods.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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