research-article

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks

Authors:

Antonio D. Masegosa,

Juan S. Angarita-Zapata,

Javier Del SerAuthors Info & Claims

GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion

Pages 1312 - 1320

https://doi.org/10.1145/3319619.3326847

Published: 13 July 2019 Publication History

Abstract

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.

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Cited By

Dahi ZAlba E(2022)Metaheuristics on quantum computersFuture Generation Computer Systems10.1016/j.future.2021.12.015130:C(164-180)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1016/j.future.2021.12.015
Hassan AAttia RRizk R(2022)Internet of Vehicles and Intelligent Routing: A Survey-Based StudyThe 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)10.1007/978-3-031-03918-8_43(517-531)Online publication date: 17-Apr-2022
https://doi.org/10.1007/978-3-031-03918-8_43
Karunanidy DRamalingam RDumka ASingh RAlsukayti IAnand DHamam HIbrahim M(2021)An Intelligent Optimized Route-Discovery Model for IoT-Based VANETsProcesses10.3390/pr91221719:12(2171)Online publication date: 2-Dec-2021
https://doi.org/10.3390/pr9122171
Show More Cited By

Index Terms

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks
1. Applied computing
  1. Operations research
    1. Transportation
2. Theory of computation
  1. Design and analysis of algorithms
    1. Approximation algorithms analysis
      1. Packing and covering problems
    2. Mathematical optimization
      1. Discrete optimization
        Optimization with randomized search heuristics
        Evolutionary algorithms
  2. Randomness, geometry and discrete structures
    1. Random search heuristics

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cover image ACM Conferences

GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion

July 2019

2161 pages

ISBN:9781450367486

DOI:10.1145/3319619

Editor:
Manuel López-Ibáñez
University of Manchester, UK
,
General Chairs:
Anne Auger
Inria and Ecole Polytechnique, France
,
Thomas Stützle
IRIDIA, Université libre de Bruxelles Belgium

Copyright © 2019 ACM.

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SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation

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Association for Computing Machinery

New York, NY, United States

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Published: 13 July 2019

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GECCO '19

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SIGEVO

GECCO '19: Genetic and Evolutionary Computation Conference

July 13 - 17, 2019

Prague, Czech Republic

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

Dahi ZAlba E(2022)Metaheuristics on quantum computersFuture Generation Computer Systems10.1016/j.future.2021.12.015130:C(164-180)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1016/j.future.2021.12.015
Hassan AAttia RRizk R(2022)Internet of Vehicles and Intelligent Routing: A Survey-Based StudyThe 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)10.1007/978-3-031-03918-8_43(517-531)Online publication date: 17-Apr-2022
https://doi.org/10.1007/978-3-031-03918-8_43
Karunanidy DRamalingam RDumka ASingh RAlsukayti IAnand DHamam HIbrahim M(2021)An Intelligent Optimized Route-Discovery Model for IoT-Based VANETsProcesses10.3390/pr91221719:12(2171)Online publication date: 2-Dec-2021
https://doi.org/10.3390/pr9122171
Bello-Salau HOnumanyi AAbu-Mahfouz AAdejo AMu'Azu M(2020)New Discrete Cuckoo Search Optimization Algorithms for Effective Route Discovery in IoT-Based Vehicular Ad-Hoc NetworksIEEE Access10.1109/ACCESS.2020.30147368(145469-145488)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3014736

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