Connected Vehicles: Solutions and Challenges

By Ning H. Lu, Nan Cheng, Ning Zhang, Xuemin Shen, Jon W. Mark. IEEE Internet of Things Journal, 2014

1,150 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9dc4ae9502c566eb6091dc598961724e21b60139

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In Biomedical Engineering

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Mobile Edge Intelligence and Computing for the Internet of Vehicles (2019, background): “Connecting vehicles via Vehicular Ad-hoc Networks (VANET) represents an early attempt to support safety-related applications, such as accident warning, crash notification, and cooperative cruise control [4], [5].”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “[59] described connected vehicle that communicates with their internal and external environment such as Vehicle-to-Vehicle (V2V), Vehicle-to-Sensor on-board (V2S), Vehicle-to-Road infrastructure (V2R) and Vehicle-to-Internet (V2I).”
Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption (2016, background): “In addition to real-time interaction and low latency, with mobile users and traffic becoming dominant nowadays, the support of mobility and geo-distribution is also critical [5]–[7].”
Towards 6G Networks: Use Cases and Technologies (2019, background): “Unmanned mobility : The evolution towards fully autonomous transportation systems offers safer traveling, improved trafﬁc management, and support for infotainment, with a market of 7 trillion USD [8].”
Internet of vehicles in big data era (2018, background): “infrastructures through the Vehicle-to-Vehicle (V2V) communication and Vehicle-to-Infrastructure (V2I) communication [2].”
Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era (2020, background): “…sort of conductor (driver) or teleoperation control [28], along with connectivity functions that make them proactive, cooperative, well-informed and coordinated since they can “talk” with their surrounding environment [29] and eventually with everything and everyone when the IoT will be in place.”
Learning-Based Computation Offloading for IoT Devices With Energy Harvesting (2017, background): “The IoT device can represent a smart watch and smartphone [30], which has to support computation intensive tasks such as augmented reality applications.”
A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications (2018, background): “Providing wireless connectivity to vehicles enables communication with internal and external environments, supporting vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-sensor, and vehicleto-Internet communications [10].”
Toward 6G Networks: Use Cases and Technologies (2020, background): “management, and support for infotainment, with a market of US$7 trillion [8].”
Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach (2020, background): “…enabling innovations that will transform vehicles into platforms for drivers and passengers that will provide services beyond transportation [1], [2]In the era of the ﬁfth-generation (5G) communication, vehicle-to-everything (V2X) communication is expected to play an important role to support…”
Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks (2021, background): “In particular, sensing the states, e.g., locations and speeds of vehicles as well as other objects is of great importance to realize collision-prevention and practical real-time road safety-related applications [4]–[6].”
Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges (2020, background): “INTRODUCTION The Internet of Things (IoT) has been applied in many areas, such as smart farming [1], smart home [2], wearables [3], smart city [4], connected health [5], connected car [6], connected drones [7], among other areas.”
Heterogeneous Vehicular Networking: A Survey on Architecture, Challenges, and Solutions (2015, background): “, vehicle-to-sensor, vehicle-to-vehicle, vehicle-to-Internet and vehicle-to-road infrastructure connectivity, and potential challenges are discussed in [11].”
Software Defined Space-Air-Ground Integrated Vehicular Networks: Challenges and Solutions (2017, background): “…vehicles, a wide range of on-the-go services can be facilitated, including road safety (e.g., collision avoidance and intelligent tra ﬃ c management), infotainment (e.g., social networking and online gaming), and location dependent services (e.g., point of interests and route optimization) [1]–[3].”
Millimeter Wave Communication: A Comprehensive Survey (2018, background): “Lu et al. [187] present and compare conventional wireless technologies that can be applied to vehicular networks, including Bluetooth, ZigBee, Radio-Frequency Identiﬁcation, Ultra-Wideband, and 60GHz mmWave.”