移动群智感知应用

Mobile Crowd-Sensing Application

认为无线通信和智能移动设备的发展为群智感知在移动环境下的应用奠定了基础,而廉价多样的传感器使移动群智感知应用与人类社会的联系更加紧密。移动群智感知用户采集数据时的协作方式分为参与式感知、机会感知两种,各有优缺点和局限性。移动群智感知需要考虑用户成本、网络压力、云计算服务器架设、用户隐私保护等方面的问题,要面对情境隐私、匿名任务、匿名数据汇报、可靠数据读取、数据真实性等安全方面的挑战。

The development of wireless communication and smart mobile devices hasbeen the impetus for mobile crowd-sensing applications. Low-cost sensors in smartdevices means that mobile crowd-sensing applications are more tightly associated withhuman communities. In a mobile crowd-sensing application, measures for sensingcooperation between individuals may be categorized as participant-sensing oropportunity-sensing. Both of these measures have advantages and disadvantages.Mobile crowd-sensing has to consider problems such as cost to the user, pressure onthe mobile communication network, constructing a cloud server, and user privacy.Security is a challenge in privacy protection, anonymous tasking, anonymous reporting,collection of dependent data, and data reliability.