Data collection model in hybrid network for participatory sensing
作者机构：Department of Computer Science and Information Engineering Inha University100 Inha-roNam-guIncheonKorea Department of Computer EngineeringSungkyul University 53 Sungkyuldaehak-roManan-guAnyang-siGyeonggi-doKorea
出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)
年 卷 期：2016年第7卷第4期
页 面：16-22页
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：supported by Defense Acquisition Program Administration and Agency for Defense Development under the contract UD140022PD,Korea funded by the Ministry of Science,ICT and Future Planning(NRF-2015R1C1A2A01051452)
主 题：Data collection model participatory sensing data filtering hybrid network
摘 要：Advances in mobile technology make most people have their own mobile devices which contain various sensors such as a *** produce their own personal data or collect surrounding environment data with their mobile devices at every ***,a broad spectrum of studies on Participatory Sensing,the concept of extracting new knowledge from a mass of data sent by participants,are *** collection method is one of the base technologies for Participatory Sensing,so networking and data filtering techniques for collecting a large number of data are the most interested research *** this paper,we propose a data collection model in hybrid network for participatory *** proposed model classifies data into two types and decides networking form and data filtering method based on the data type to decrease loads on data center and improve transmission speed.
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