Abstract

The provision of reliable and efficient communication is a key requirement for the deployment of autonomous cars as well as for future Intelligent Transportation Systems (ITSs) in smart cities. Novel communications technologies will have to face highly-complex and extremely dynamic network topologies in a Vehicle-to-Everything (V2X)-context and will require the consideration of mobility information into decision processes for routing, handover and resource allocation. Consequently, researches and developers require simulation tools that are capable of providing realistic representations for both components as well as means for leveraging the convergence of mobility and communication. In this paper, we present a lightweight framework for the simulation of vehicular mobility, which has a communications-oriented perspective by design and is intended to be used in combination with a network simulator. In contrast to existing approaches, it works without requiring Interprocess Communication (IPC) using an integrated approach and is therefore able to reduce the complexity of simulation setups significantly. Since mobility and communication share the same codebase, it is able to model scenarios with a high level of interdependency between those two components. In a proof-of-concept study, we evaluate the proposed simulator in different example scenarios in an Long Term Evolution (LTE)-context using real-world map data.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/vnc.2017.8275600
https://arxiv.org/abs/1710.02966,
https://arxiv.org/pdf/1710.02966.pdf,
https://ui.adsabs.harvard.edu/abs/2017arXiv171002966S/abstract,
https://doi.org/10.1109/VNC.2017.8275600,
http://export.arxiv.org/pdf/1710.02966,
https://aps.arxiv.org/abs/1710.02966,
https://jp.arxiv.org/abs/1710.02966,
https://jp.arxiv.org/pdf/1710.02966,
https://export.arxiv.org/abs/1710.02966,
https://fr.arxiv.org/abs/1710.02966,
http://www.arxiv-vanity.com/papers/1710.02966,
https://fr.arxiv.org/pdf/1710.02966,
https://aps.arxiv.org/pdf/1710.02966,
https://academic.microsoft.com/#/detail/2952895425
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Published on 01/01/2017

Volume 2017, 2017
DOI: 10.1109/vnc.2017.8275600
Licence: CC BY-NC-SA license

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