Dissimilarity Metric Based on Local Neighboring Information and Genetic Programming for Data Dissemination in Vehicular Ad Hoc Networks (VANETs)

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@Article{Gutierrez-Reina:2018:sensors,

• author = "Daniel Gutierrez-Reina and Vishal Sharma and Ilsun You and Sergio L. Toral Marin",
• title = "Dissimilarity Metric Based on Local Neighboring Information and Genetic Programming for Data Dissemination in Vehicular Ad Hoc Networks ({VANETs})",
• journal = "Sensors",
• year = "2018",
• volume = "18",
• number = "7",
• pages = "2320",
• keywords = "genetic algorithms, genetic programming, VANETs, broadcasting communications, dissimilarity metrics",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/sensors/sensors18.html#Gutierrez-Reina18",
• URL = "https://www.mdpi.com/1424-8220/18/7/2320",
• URL = "https://www.mdpi.com/1424-8220/18/7/2320/htm",
• URL = "https://www.mdpi.com/1424-8220/18/7/2320/pdf",
• DOI = "doi:10.3390/s18072320",
• size = "18 pages",
• abstract = "This paper presents a novel dissimilarity metric based on local neighbouring information and a genetic programming approach for efficient data dissemination in Vehicular Ad Hoc Networks (VANETs). The primary aim of the dissimilarity metric is to replace the Euclidean distance in probabilistic data dissemination schemes, which use the relative Euclidean distance among vehicles to determine the retransmission probability. The novel dissimilarity metric is obtained by applying a metaheuristic genetic programming approach, which provides a formula that maximises the Pearson Correlation Coefficient between the novel dissimilarity metric and the Euclidean metric in several representative VANET scenarios. Findings show that the obtained dissimilarity metric correlates with the Euclidean distance up to 8.9percent better than classical dissimilarity metrics. Moreover, the obtained dissimilarity metric is evaluated when used in well-known data dissemination schemes, such as p-persistence, polynomial and irresponsible algorithm. The obtained dissimilarity metric achieves significant improvements in terms of reachability in comparison with the classical dissimilarity metrics and the Euclidean metric-based schemes in the studied VANET urban scenarios",
• notes = "Also known as \cite{journals/sensors/Gutierrez-Reina18}",

}

Genetic Programming entries for Daniel Gutierrez-Reina Vishal Sharma Ilsun You Sergio L Toral Marin

Citations