Research Article
Evaluation of Broadcast Storm Mitigation Techniques on Vehicular Networks Enabled by WAVE or NDN
@INPROCEEDINGS{10.1007/978-3-030-38822-5_15, author={Oscar Gama and Alexandre Santos and Antonio Costa and Bruno Dias and Joaquim Macedo and Maria Nicolau and Bruno Ribeiro and Fabio Goncalves}, title={Evaluation of Broadcast Storm Mitigation Techniques on Vehicular Networks Enabled by WAVE or NDN}, proceedings={Intelligent Transport Systems. From Research and Development to the Market Uptake. Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4--6, 2019}, proceedings_a={INTSYS}, year={2020}, month={1}, keywords={Vehicular ad-hoc network (VANET) Broadcast storm Named data networking (NDN) Wireless access in vehicular environment (WAVE)}, doi={10.1007/978-3-030-38822-5_15} }- Oscar Gama
Alexandre Santos
Antonio Costa
Bruno Dias
Joaquim Macedo
Maria Nicolau
Bruno Ribeiro
Fabio Goncalves
Year: 2020
Evaluation of Broadcast Storm Mitigation Techniques on Vehicular Networks Enabled by WAVE or NDN
INTSYS
Springer
DOI: 10.1007/978-3-030-38822-5_15
Abstract
A vehicle in a vehicular ad-hoc network (VANET) can perform wireless broadcasting by flooding to find a route to a node or to send an emergency warning, for example. However, this is usually a very demanding operation because it may originate broadcast storms, with high impact on redundancy and collision of packets, as well as channel bandwidth waste. Diverse strategies have been proposed by the research community to mitigate the broadcast storm problems. To contribute to this important topic, this work evaluates on a simulation scenario the network performance of a VANET in terms of content delivery time, signal-to-interference-plus-noise ratio (SNIR) packet loss and duplicate packets, considering the use of broadcasting by flooding on two prominent network paradigms: wireless access in vehicular environment (WAVE) and named data networking (NDN). Afterwards, these network technologies are used to study two distinct strategies to mitigate the flooding problems. One strategy uses a counter-based scheme and the other a geographic location scheme. Simulation results show that both strategies are effective in mitigating the broadcast storm problems in terms of the considered metrics.
