Architecture and key technologies for Internet of Vehicles: a survey

Abstract

In recent years, IoV (Internet of Vehicles) has become one of the most active research fields in network and intelligent transportation system. As an open converged network, IoV plays an important role in solving various driving and traffic problems by advanced information and communications technology. We review the existing notions of IoV from different perspectives. Then, we provide our notion from a network point of view and propose a novel IoV architecture with four layers. Particularly, a novel layer named coordinative computing control layer is separated from the application layer. The novel layer is used for solving the coordinative computing and control problems for human-vehicle-environment. After summarizing the key technologies in IoV architecture, we construct a VV (Virtual Vehicle), which is an integrated image of driver and vehicle in networks. VVs can interact with each other in cyber space by providing traffic service and sharing sensing data coordinately, which can solve the communication bottleneck in physical space. Finally, an extended IoV architecture based on VVs is proposed.

A review on China's wind power accommodation in the background of “Internet+” strategy

“…Energy Internet is an energy ecosystem which emphasizes comprehensive complementary use of various forms of energy. It is based on the main form of electricity and main carrier of smart grid . At present, China's main focus is on information interconnection and construction of electricity trading market in the development stage.…”

BlockLoc: Secure Localization in the Internet of Things using Blockchain

“…According to Cisco, fifty billion devices will be deployed in the Internet-of-Things (IoT) by 2020 [1], [2]. Several types of devices are connected including smartphones, healthcare sensor devices, drones and robots [3], [4], vehicles [5], industrial machines, to name a few. For all these applications, localization is essential considering that these applications are typically location-aware.…”

Cooperative Automated Vehicles: A Review of Opportunities and Challenges in Socially Intelligent Vehicles Beyond Networking

“…Loke (email: seng.loke@deakin.edu.au). 1 See https://www.bbhub.io/dotorg/sites/2/2017/05/-TamingtheautomatedVehicleSpreadsPDF.pdf, http://www.businessinsider.com/companies-making-driverless-cars-by-2020-2016-11/?r=AU&IR=T/#tesla-made-a-big-move-this-year-to-meet-its-goalof-having-a-fully-self-driving-car-ready-by-2018-1, around the world testing of automated vehicles (see http://insuranceblog.accenture.com/where-inthe-world-are-self-driving-cars), NHTSA guidelines on development of automated vehicles: https://www.nhtsa.gov/technology-innovation/automated-vehicles#voluntary-guidelines, and self-driving vehicle initiative in Australia (http://advi.org.au/) 2 https://spectrum.ieee.org/the-human-os/biomedical/devices/selfdrivingwheelchairs-debut-in-hospitals-and-airports 3 E.g., see https://www.yamaha-motor.com.au/discover/design-lab/Motobot and https://www.dezeen.com/2017/01/12/honda-unveils-self-balancingmotorcycle-design-transport-ces/ 4 For example, see https://www.car-2-car.org/aboutc-its/ on the Car 2 Car communication consortium, https://tca.gov.au/car/c-its, and https://www.toyotaglobal.com/innovation/intelligent transport systems/infrastructure/ other automated entities. In so far as the action of CAVs must take into account the actions and reactions of others, and are intentional individually or collectively, CAVs need to perform social interactions and social signalling.…”