Agile Data Offloading over Novel Fog Computing Infrastructure for CAVs

Abstract

Future Connected and Automated Vehicles (CAVs) will be supervised by cloud-based systems overseeing the overall security and orchestrating traffic flows. Such systems rely on data collected from CAVs across the whole city operational area. This paper develops a Fog Computing-based infrastructure for future Intelligent Transportation Systems (ITSs) enabling an agile and reliable off-load of CAV data. Since CAVs are expected to generate large quantities of data, it is not feasible to assume data off-loading to be completed while a CAV is in the proximity of a single Road-Side Unit (RSU). CAVs are expected to be in the range of an RSU only for a limited amount of time, necessitating data reconciliation across different RSUs, if traditional approaches to data off-load were to be used. To this end, this paper proposes an agile Fog Computing infrastructure, which interconnects all the RSUs so that the data reconciliation is solved efficiently as a by-product of deploying the Random Linear Network Coding (RLNC) technique. Our numerical results confirm the feasibility of our solution and show its effectiveness when operated in a large-scale urban testbed.

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“…StationIDID of the transmitter/receiverGenDeltaTimeThe remainder of T imestamp/65546[6] SeqNum Sequence number of the transmitted/received CAM[7] GpsLonLongitude of the current position of the transmitter/receiver GpsLat Latitude of the current position of the transmitter/receiver CamLon Longitude of the position of the transmitter/receiver as encapsulated in a CAM CamLat Latitude of the position of the transmitter/receiver as encapsulated in a CAM SpeedConf Encoding configuration for the speed [6] VehHeading Heading of the transmitter GpsSpeed Speed of the transmitter/receiver CamSpeed Speed of the transmitter as encapsulated in a CAM Timestamp Timestamp at the moment of creation of a CAM CamLength Byte-length of a CAM RSSI The RSSI value of a received CAM Experimental Design, Materials, and Methods…”

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