Enhanced clustering based AODV-R protocol using Ant Colony Optimization in VANETS

Kaur, Kavneet; Kad, Sandeep

doi:10.1109/icpeices.2016.7853381

Cited by 8 publications

(2 citation statements)

References 13 publications

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“…However, it considers the central node as an assumption to test the routing protocol, which does not support real scenarios in VANETs' traffic environments. An ant colony optimization-based ad hoc demand distance vector reliability (AODV-R) routing protocol has been investigated for VANETs [20]. This protocol uses optimal route selection and data aggregation as routing parameters.…”

Section: Related Workmentioning

confidence: 99%

Improved Road Segment-Based Geographical Routing Protocol for Vehicular Ad-hoc Networks

et al. 2020

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The real-time traffic information dissemination among on-road vehicles has been envisioned via realizing vehicular ad hoc networks (VANETs) as smart service-oriented roadside wireless sensor networks. The network enables various types of real-time traffic applications related to safety and infotainment for drivers and passengers. The information dissemination-centric routing protocols for vehicular networks have to dynamically adopt under the constrained network environment while considering the higher mobility of vehicular nodes and unpredictable physical topologies in the network. The issue needs to be addressed through smart and network-aware routing protocols. Geographical routing protocols have witnessed significant attention for information dissemination under these types of dynamic vehicular network environment. To this end, this paper presents an improved road segment-based geographical routing (ISR) protocol focusing on better head node selection for information dissemination. It divides the forwarding area into a number of road segments and selects a head node on each segment by focusing on traffic-aware information including the location, direction, and link quality-centric score for every vehicle on each road segment. Algorithms were developed for the complete process of head node selection and information dissemination among vehicles on the road segments. The simulation results attested the performance benefits of the proposed routing framework as compared to the state-of-the-art protocols considering dynamic vehicular traffic environment-related metrics.

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Section: Related Workmentioning

confidence: 99%

Improved Road Segment-Based Geographical Routing Protocol for Vehicular Ad-hoc Networks

et al. 2020

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“…An ant colony optimisation algorithm for route selection and data aggregation in VANETs is presented in [33]. The suggested algorithm reveals promising results compared to other algorithms.…”

Section: Related Studiesmentioning

confidence: 99%

Optimal resource utilisation algorithm for visible light communication‐based vehicular ad‐hoc networks

Msongaleli

Küçük

2019

IET Intelligent Transport Systems

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Research and Equilibrium Optimization of AODV Routing Protocol in Ad Hoc Network

Liu

Shi

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Enhanced clustering based AODV-R protocol using Ant Colony Optimization in VANETS

Cited by 8 publications

References 13 publications

Improved Road Segment-Based Geographical Routing Protocol for Vehicular Ad-hoc Networks

Improved Road Segment-Based Geographical Routing Protocol for Vehicular Ad-hoc Networks

Optimal resource utilisation algorithm for visible light communication‐based vehicular ad‐hoc networks

Research and Equilibrium Optimization of AODV Routing Protocol in Ad Hoc Network

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