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In this paper, the novel Fog Communications and Computing paradigm is addressed by presenting an integrated system architecture, that is applied to achieve a full con- text awareness for vehicular networks and, consequently, to react on traffic anomalous conditions. In particular, we propose to adopt a specific co-designed approach involving Application and Networks Layers. For the latter one, as no infrastructure usually exists, effective routing protocols are needed to guarantee a certain level of reliability of the in- formation collected from individual vehicles. As a consequence, we investigated classical Epidemic Flooding based, Network Coding inspired and Chord protocols. Besides, we resort to Blockchain principle to design a distributed consensus sensing application. The system has been tested by resorting to OMNeT++ framework for its modularity, high fidelity and flexibility. Performance analysis has been conducted over realistic scenarios in terms of consensus making overhead, latency and scalability, pointing out the better trade-off allowing the overlay P2P network formation and the complete context awareness achieved by the vehicles community.

This paper presents a novel architectural principle for distributed and heterogeneous systems integrating Fog Computing and Networking approaches, which has been proposed within the "Green Adaptive Fog Computing and Networking Architecture" (GAUChO) project, funded by the MIUR Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN) Bando 2015 -grant 2015YPXH4W-004. In particular a modular and flexible platform has been designed and developed, supporting lowlatency and energy-efficiency applications as well as security, self-adaptation, and spectrum efficiency by means of a strict collaboration among devices. Specifically, the focus here is on the design of an integrated protocol architecture supporting mobile Fog-oriented services, and the developed Fog computing testbeds.