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

1
Engineering Department, Loyola Andalusia University, 14004 Seville, Spain
2
Department of Information Security Engineering, Soonchunhyang University, Asan 31538, Korea
3
Electronic Engineering Department, University of Seville, 41004 Seville, Spain
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(7), 2320; https://doi.org/10.3390/s18072320
Received: 6 June 2018 / Revised: 10 July 2018 / Accepted: 12 July 2018 / Published: 17 July 2018
(This article belongs to the Section Sensor Networks)
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Abstract

This paper presents a novel dissimilarity metric based on local neighboring 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 maximizes 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 8.9% 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. View Full-Text
Keywords: VANETs; genetic programming; broadcasting communications; dissimilarity metrics VANETs; genetic programming; broadcasting communications; dissimilarity metrics
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Gutiérrez-Reina, D.; Sharma, V.; You, I.; Toral, S. Dissimilarity Metric Based on Local Neighboring Information and Genetic Programming for Data Dissemination in Vehicular Ad Hoc Networks (VANETs). Sensors 2018, 18, 2320.

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