A probabilistic VDTN routing scheme based on hybrid swarm-based approach

article

Azzoug, Youcef
Boukra, Abdelmadjid
Soares, V. N.G.J.

MDPI

AZZOUG, Youcef ; BOUKRA, Abdelmadjid ; SOARES, V.N.G.J. (2020) - A probabilistic VDTN routing scheme based on hybrid swarm-based approach. Future Internet. ISSN 1999-5903. Vol. 12, nº 11. Doi: 10.3390/fi12110192

1999-5903

10.3390/fi12110192

A probabilistic VDTN routing scheme based on hybrid swarm-based approach

VDTNs
Probabilistic DTN routing
Next-SCF vehicle selection
ProPHET
Glowworm swarm optimization
Firefly algorithm
Swarm-based approaches

2020-11-09T13:39:48Z
2020-11-09T13:39:48Z
2020-11

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.
info:eu-repo/semantics/publishedVersion

openAccess
http://creativecommons.org/licenses/by/4.0/

eng