Mobility models for vehicular ad hoc networks: a survey and taxonomy

By Jérôme Härri, Fethi Filali, Christian Bonnet. IEEE Communications Surveys and Tutorials, 2009

851 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/522577dd187ac2f9683751d5cf8995e0275cff92

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Vehicular ad hoc networks (VANETS): status, results, and challenges (2010, neutral): “Lane changing No Support MOBIL [90] Supports”
A Survey on Platoon-Based Vehicular Cyber-Physical Systems (2016, background): “Some other reviews were stated from the special aspects: such as communication protocols for green environment [24], mobility models in VANET [18], and simulators develop-”
Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset (2014, background): “Ever since, vehicular mobility sim ulators have been growing their complexity and features, allowing t o accurately simulate the individual movement of vehicles ov er realistic road topologies [8].”
Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs (2020, methodology): “These models include the car following models, such as stimulusresponse models, safe distance models and psychophysical models, as well as lane changing models such as the MOBIL model [46].”
Mobile ad hoc networking: milestones, challenges, and new research directions (2014, methodology): “A survey is presented in chapter by Awwad, Yi, and Stojmenovic in [ ]. fsew other chapters in the same book survey ongoing research activities on experimental testbeds and simulation”
Infotainment and road safety service support in vehicular networking : From a communication perspective $ (2010, background): “In the literature, many research studies have been undertaken so as to provide a close-to-reality mobility model for VANETs [129,130]; however, those proposed models are suitable for only a small number of scenarios (e.”
Routing in Internet of Vehicles: A Review (2015, methodology): “We first discuss the widely used simulations and then the important but hard-toconduct real-world experiments.”
BonnMotion: a mobility scenario generation and analysis tool (2010, background): “In the past there have been several general surveys [3, 5, 12, 44, 48] as well as some specific ones for vehicular [20, 22] and tactical [1] modeling.”
Autonomous Cars: Research Results, Issues, and Future Challenges (2019, methodology): “Traffic simulations can be divided mainly into two classes: macroscopic and microscopic simulations [114], [115].”
User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (2021, methodology): “In actual deployment, the time wasted in optimizing the PA policy will be added as a communication overhead, which has the same effect of using a longer pilot training period (i.e., longer pilot sequence).”
A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks (2017, background): “Themobility models described in [54] and [170] can be exploited in order to study how these models affect both the convergence of the algorithms as well as the lifetime of WSNs. Amplifying or decoding and remodulating the signals before forwarding them is capable of achieving energy savings, as…”