Crowd Sensing and Service in Internet of Vehicles
LI Jing-li · ZTE Technology Journal · 2015
Mobile crowd sensing and coordinated computing are core features of the Internet of Vehicles(Io V). In this paper, we elaborate on the architecture, operation procedures, and advantages and disadvantages of both centralized and distributed crowd sensing frameworks in Io V. We propose a novel hybrid framework that facilitates crowd sensing and service in Io V. 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 Io V. The hybrid framework expands the field of research for mobile crowd sensing and coordinated computing.