【摘要】 群智感知网络以移动用户携带智能感知设备(如智能手机)作为基本感知单元,通过有意识或者无意识协作实现大规模且复杂的社会感知任务.其中,感知质量优劣是决定群智感知应用成败的关键.群智感知所特有的用户泛在性、节点低成本、数据多模态等特点给感知质量度量与保障研究带来挑战.本文综述了该领域国内外的研究进展,着重分类讨论移动群智感知质量度量与保障的基本理论和方法,最后提出当前亟待解决的问题,并对未来的发展趋势进行展望.更多还原

【Abstract】 Mobile crowd sensing is a technique that crowdsourcing sensor data from a large group of individuals carrying intelligent devices(e. g. smartphone)which are capable of sensing and computing to achieve large-scale and complex social sensing tasks by conscious or unconscious cooperation. Sensing quality is the key to success in mobile crowd sensing application. However,distinct features of mobile crowd sensing,such as pervasive user participation,low-cost mobile terminal,multimodal sensing data,bring enormous challenges for the research of quality measure and assurance. This paper summarizes the current research progresses at home or abroad. Also,the study classifies and summarizes the basic quality measure and assurance theories and methods in the context of mobile crowd sensing. Finally,the paper points out the open research problems to be solved and future trends.更多还原