A tutorial survey on vehicular ad hoc networks
By Hannes Hartenstein, Kenneth P. Laberteaux. IEEE Communications Magazine, 2008
1,635 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8628779147edf5e3376a399ce4649da68e45ec81
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Dusist Niyato
- Zehui Xiong
- Moath M. Al-Doori
- Ali Hilal Al-Bayatti
- Saif Jamal Al-Sultan
- Xiansheng Hua
- Silvia Giordano
- Sherali Zeadally
In Computer Networks and Communications
- Zhili Sun
- Sherali Zeadally
- Eleonora Borgia
- F. Yu
- Silvia Giordano
- Zehui Xiong
- Marco Conti
- Jiawen Kang
In Electrical and Electronic Engineering
- Sherali Zeadally
- Zhili Sun
- Eleonora Borgia
- Zehui Xiong
- Marco Conti
- Dusist Niyato
- Silvia Giordano
- F. Yu
Citations in the corpus
- A comprehensive survey on vehicular Ad Hoc network (2014, background): “Hartenstein and Laberteaux (2008) have investigated the communication and networking aspects of this technology and addressed the security and privacy issues.”
- CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles (2018, background): “With the increasing privacy concerns of data [4]–[7], there exist two major issues in building an effective vehicular announcement network.”
- Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis (2011, background): “Incident detection, e.g., traffic jam and accident detection, for optimized route planning, as well as future safety applications, e.g., enhanced lane and distance control, is the dominant driver for the development of adequate IVC protocols [1], [2], [3].”
- The Internet of Things vision: Key features, applications and open issues (2014, background): “This class of networks includes other self-organizing and infrastructure-less networking paradigms that can be worth using in the IoT world such as wireless mesh networks [89] and vehicular networks [90], which are still under active development [91,92].”
- Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems (2017, background): “VCS applications are classified into vehicle-to-vehicle and vehicle-to-infrastructure [7] and its security highly relies on the exchange of safety beacon messages.”
- Connected Vehicles: Solutions and Challenges (2014, background): “In face of these challenges, the intravehicle wireless sensor network has become a research focus in the area of intelligent vehicle systems, and the followingwireless technologies have been investigated extensively in the literature.”
- Covert Communications: A Comprehensive Survey (2023, background): “Besides the convenience of wireless communications, information security related problems are also critical and cannot be ignored [4], [5], [6].”
- Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions (2014, background): “This vehicle and infrastructure network can generate accurate real-time traffic information based on some fundamental traffic problems related to efficiency, which can be addressed well from a brand new perspective [9].”
- V2X Access Technologies: Regulation, Research, and Remaining Challenges (2018, neutral): “References [22]–[24] pro-”
- Mobile ad hoc networking: milestones, challenges, and new research directions (2014, methodology): “Several well-known network simulator like ns-3, SWANS, OMNET++, OPNET, etc., able to take as input trace files, generated by specialized vehicle mobility models (e.g., Vanet-MobiSim and SUMO), which provide realistic vehicle mobility behaviours.”
- On the features and challenges of security and privacy in distributed internet of things (2013, background): “Note that this strategy might be partially applicable to highly dynamic environments such as VANETs [26] if we consider the existence of logical groups (“all cars that have been registered in Singapore”), although more research is needed to validate this point of view.”
- Platoon management with cooperative adaptive cruise control enabled by VANET (2015, methodology): “…increasing the road capacity and improving the fuel efficiency of the vehicles. of seventeen micro-commands that are detailed in Appendix A. Wireless Vehicle-to-Vehicle (V2V) communication is achieved using Dedicated Short Range Communication (DSRC) which has been standardized in IEEE 802.11p [24].”
- Vehicular ad hoc networks (VANETS): status, results, and challenges (2010, background): “This might allow the signer to send certificates in a subset of data messages or in separate certificate-sharing messages [42].”
- Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach (2020, background): “…in the Internet of Things (IoT) and edge computing paradigm, traditional Vehicular Ad-Hoc Networks (VANETs) that focus mainly on Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications [1], [2] are gradually evolving into the Internet of Vehicles (IoV) paradigm [3], [4].”
- Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions (2011, background): “Between the years 2000 and 2009 several excellent survey papers have appeared in the literature in the area of vehicular networking covering topics ranging from intelligent vehicle applications to routing protocols [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11].”