Enhanced QoS Performance with Reduced Route Overhead by Ant Colony Optimization Algorithm for VANET

Ghosh, Sreya; Misra, Iti Saha

doi:10.1109/aspcon49795.2020.9276726

Cited by 3 publications

(1 citation statement)

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“…In earlier research, several methods are introduced to achieve this target which is heuristic and meta-heuristic algorithms to solve the set-covering and greed set cover'' problems [6]. The particle swarm optimization approach is developed to increase the convergence speed of the network so that effective communication can be achieved in vehicle to infrastructure communication [7,8]. Research optimization is concentrated on monitoring the network traffic and best path selection to improve the capacity of the VANETs network.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

2023

IJIES

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Vehicular ad hoc networks (VANETs) recently covered a wide range of intelligent transportation systems (ITSs) and applications. VANETs consist of convinced unique characteristics such as dynamic movement and high speed. Due to these characteristics, link failures occur, and delay and routing overhead is greatly increased, directly affecting the effectiveness, Quality of Service (QoS), and stability of VANETs. To achieve an efficient and reliable network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPS-VANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. This optimization technique is also applied to low-density, medium-density, and high-density scenarios, as it is compared with the earlier methods. During the experimentation process, our findings reveal no noticeable change in the performance of the earlier methods when applied to the low-density and medium-density scenarios. Still, the performance is gradually reduced when applied to the high-density scenario. On the other hand, the performance of the proposed approach is better for all three tested scenarios and demonstrates effective communication for the VANETs.

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Section: Introductionmentioning

confidence: 99%