车联网群智感知与服务

[摘要] 移动群智感知与协同计算是车联网的核心特征之一。通过对集中式和分布式两种车联网群智感知框架的结构、工作过程、优势与问题的分析，提出了支持车联网群智感知与服务的混合式框架模型。混合式模型融合集中式在感知效率和分布式在信息效用方面的优势，解决了车联网群智感知在高效性与实时性之间的矛盾，为移动智群感知和协同计算拓展了新的研究领域。

[关键词] 车联网；群智感知；车载自组织网

[Abstract] Mobile crowd sensing and coordinated computing are core features of the Internet of Vehicles (IoV). In this paper, we elaborate on the architecture, operation procedures, and advantages and disadvantages of both centralized and distributed crowd sensing frameworks in IoV. We propose a novel hybrid framework that facilitates crowd sensing and service in IoV. The hybrid framework combines the sensing efficiency of a centralized framework with the information utility of a distributed framework. This resolves the contradiction between efficient sensing and real-time sensing in IoV. The hybrid framework expands the field of research for mobile crowd sensing and coordinated computing.

[Keywords] Internet of vehicles; crowd sensing; vehicular ad-hoc networks