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A Probabilistic VDTN Routing Scheme Based on Hybrid Swarm-Based Approach

Author

Listed:
  • Youcef Azzoug

    (Department of Informatics, University of Science and Technology Houari Boumediene, 16111 Algiers, Algeria
    These authors contributed equally to this work.)

  • Abdelmadjid Boukra

    (Department of Informatics, University of Science and Technology Houari Boumediene, 16111 Algiers, Algeria
    These authors contributed equally to this work.)

  • Vasco N. G. J. Soares

    (Instituto de Telecomunicações, 6201-001 Covilhã, Portugal
    Polytechnic Institute of Castelo Branco, 6000-084 Castelo Branco, Portugal
    These authors contributed equally to this work.)

Abstract

The probabilistic Delay Tolerant Network (DTN) routing has been adjusted for vehicular network (VANET) routing through numerous works exploiting the historic routing profile of nodes to forward bundles through better Store-Carry-and-Forward (SCF) relay nodes. In this paper, we propose a new hybrid swarm-inspired probabilistic Vehicular DTN (VDTN) router to optimize the next-SCF vehicle selection using the combination of two bio-metaheuristic techniques called the Firefly Algorithm (FA) and the Glowworm Swarm Optimization (GSO). The FA-based strategy exploits the stochastic intelligence of fireflies in moving toward better individuals, while the GSO-based strategy mimics the movement of glowworm towards better area for displacing and food foraging. Both FA and GSO are executed simultaneously on each node to track better SCF vehicles towards each bundle’s destination. A geography-based recovery method is performed in case no better SCF vehicles are found using the hybrid FA–GSO approach. The proposed FA–GSO VDTN scheme is compared to ProPHET and GeoSpray routers. The simulation results indicated optimized bundles flooding levels and higher profitability of combined delivery delay and delivery probability.

Suggested Citation

  • Youcef Azzoug & Abdelmadjid Boukra & Vasco N. G. J. Soares, 2020. "A Probabilistic VDTN Routing Scheme Based on Hybrid Swarm-Based Approach," Future Internet, MDPI, vol. 12(11), pages 1-18, November.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:11:p:192-:d:441305
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