RT Conference Proceedings
T1 Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks
A1 Masegosa, Antonio D.
A1 Osaba, Eneko
A1 Angarita-Zapata, Juan S.
A1 Laña, Ibai
A1 Ser, Javier Del
AB Connected vehicles are revolutionizing the way in which transport and mobility are conceived. The main technology behind is the so-called Vehicular Ad-Hoc Networks (VANETs), which are communication networks that connect vehicles and facilitate various services. Usually, these services require a centralized architecture where the main server collects and disseminates information from/to vehicles. In this paper, we focus on improving the downlink information dissemination in VANETs with this centralized architecture. With this aim, we model the problem as a Vertex Covering optimization problem and we propose four new nature-inspired methods to solve it: Bat Algorithm (BA), Firefly Algorithm (FA), Particle Swarm Optimization (PSO), and Cuckoo Search (CS). The new methods are tested over data from a real scenario. Results show that these metaheuristics, especially BA, FA and PSO, can be considered as powerful solvers for this optimization problem.
PB Association for Computing Machinery, Inc
SN 9781450367486
YR 2019
FD 2019-07-13
LK https://hdl.handle.net/11556/2766
UL https://hdl.handle.net/11556/2766
LA eng
NO Masegosa , A D , Osaba , E , Angarita-Zapata , J S , Laña , I & Ser , J D 2019 , Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks . in GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion . GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion , Association for Computing Machinery, Inc , pp. 1312-1320 , 2019 Genetic and Evolutionary Computation Conference, GECCO 2019 , Prague , Czech Republic , 13/07/19 . https://doi.org/10.1145/3319619.3326847
NO conference
NO Publisher Copyright: © 2019 Association for Computing Machinery.
NO E. Osaba, I. Laña and J. Del Ser would like to thank the Basque Government for its support through the EMAITEK program. E. Osaba, I. Laña and J. Del Ser acknowledge the financial support from the project SCOTT: Secure Connected Trustable Things (ECSEL Joint Undertaking, ref. 737422). E. Osaba, I. Laña and J. Del Ser would like to thank the Basque Government for its support through the EMAITEK program. E. Osaba, I. Laña and J. Del Ser acknowledge the financial support from the project SCOTT: Secure Connected Trustable Things (ECSEL Joint Undertaking, ref. 737422). J. S. Angarita-Zapata thanks the funding received from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 665959. A. D. Masegosa thanks the LOGISTAR project, which received funding from European Union's Horizon 2020 research and innovation programme under grant agreement No. 769142. A. D. Masegosa thanks the LOGISTAR project, which received funding from European Union’s Horizon 2020 research and innovation programme under grant agreement No. 769142. J. S. Angarita-Zapata thanks the funding received from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 665959.
DS TECNALIA Publications
RD 31 jul 2024