群智大数据感知网络部署机制研究

移动群智感知是一种新的大规模的感知模式,它将人作为基本的感知单元进行数据的收集,正在被广泛部署并逐步融入到日常生活中。就目前来看,现有的模型和方法已经不能满足在数据处理和数据收集方面的需求,虽然有很多的方法来提高群智感知的数据收集方法与数据传输方法,但是仍然缺少大规模的混合感知框架模型,该文对基础的感知网络框架模型进行分析,为以后的感知框架发展奠定敦实的基础。

Mobile crowd sensing is a new large-scale perception model that collects data as a basic unit of perception and is being widely deployed and gradually integrated into daily life. At present, the existing models and methods can no longer meet the requirements of data processing and data collection. Although there are many ways to improve the group-aware data collection methods and data transmission methods, there is still a lack of large-scale mixed sensing. This paper analyzes the basic perceptual network framework model and lays a solid foundation for the development of the perception framework in the future.