A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

Baskaran, R.; Basha, M. S. Saleem; Amudhavel, J.; Kumar, Krishan; Kumar, D. Arvind; Vijayakumar, V.

doi:10.1109/iccpct.2015.7159384

Cited by 7 publications

(3 citation statements)

References 28 publications

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“…An onlooker bee analyzes the fitness value given by each bee and selects a source of nutrition with a greater probability of finding nectar. When any of the current food sources desert the bees after several forages, scout bees start looking randomly around the hive for new food sources [36].…”

Section: Artificial Bee Colonymentioning

confidence: 99%

Soft Computing Techniques Aware Clustering-Based Routing Protocols in Vehicular Ad Hoc Networks: A Review

et al. 2022

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The vehicular ad hoc network is an emerging area of technology that provides intelligent transportation systems with vast advantages and applications. Frequent disconnections between the vehicular nodes due to high-velocity vehicles impact network performance. This can be addressed by efficient clustering techniques. Several recent studies have attempted to develop optimal clustering algorithms to improve network performance metrics using soft computing techniques. Although sufficient work on soft computing techniques has been carried out, it seems less commonplace to find an analysis of various algorithms’ network parameters together. This paper provides a systematic analysis of the clustering-based routing protocols used in vehicular networks that are aware of soft computing techniques. The categorization is performed according to various soft computing techniques: particle swarm optimization, k-means, neural networks, artificial bee colony, genetic algorithm, firefly algorithm, and fuzzy logic. A comparative study of soft computing strategies is also provided in the survey with a focus on their objectives, along with their strengths and limitations. This survey makes it easier for researchers to pick the required soft computing technique used in vehicular networks in order to improve metrics such as packet delivery ratio, end-to-end delay, throughput, cluster lifetime, and message overhead.

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Section: Artificial Bee Colonymentioning

confidence: 99%

Soft Computing Techniques Aware Clustering-Based Routing Protocols in Vehicular Ad Hoc Networks: A Review

et al. 2022

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“…Bio-inspired artificial bee colony technique has been utilized to maintain connectivity in vehicular traffic environment [31]. RSUs store the distance information of all neighbouring vehicles which is accessed by the communicating vehicles resulting in durable connectivity.…”

Section: Related Workmentioning

confidence: 99%

Inter Vehicle Distance Based Connectivity Aware Routing in Vehicular Adhoc Networks

Hassan

Kaiwartya

Abdullah

et al. 2017

Wireless Pers Commun

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Connectivity in vehicular traffic environment has witnessed significant attention due to the direct impact on the performance of most of the traffic safety applications of Intelligent Transport System (ITS). Various parameters such as density, speed, direction, link quality and Inter Vehicle Distance (IVD) have been utilized for measuring connectivity. IVD has greater impact on connectivity and controls the impact of other parameters. Usage of Real time IVD for measuring connectivity has not received sufficient attention in VANETs. This paper proposes Inter Vehicle Distance based Connectivity Aware Routing (Ivd-CAR) for enhancing connectivity aware data dissemination. IVD calculation is robust and can effectively handle instantaneous GPS failure. Two localization techniques; namely, Cooperative Localization (CL) and Geometry based Localization (GL) are developed. Standard deviation of real time IVDs of a forwarding path is derived. Distribution of IVDs of a forwarding path is employed for estimating connectivity. Segment vehicle based Next Hop Vehicle (NHV) selection is utilized for incorporating network load, link quality and direction into consideration while selecting forwarding path. Simulations are carried out in ns2 to evaluate the performance of Ivd-CAR in realistic traffic environment. Comparative analysis of simulation results attests the superiority of Ivd-CAR to the state-of-the-art techniques: CSR and A-CAR.

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“…R. Baskaran [4] proposes a bio-inspired artificial bee colony approach to overcome the connectivity and the signal fading issue. Mohamed Aissa [5] proposes a scalable weighted clustering algorithm by implementing a non-periodic procedure for clusterhead election.…”

Section: Introductionmentioning

confidence: 99%

A Clustering Algorithm Based on Zone in Vehicular Ad Hoc Networks

Yan¹,

Yang²,

Zhao³

et al. 2016

IJFGCN

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A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

Cited by 7 publications

References 28 publications

Soft Computing Techniques Aware Clustering-Based Routing Protocols in Vehicular Ad Hoc Networks: A Review

Soft Computing Techniques Aware Clustering-Based Routing Protocols in Vehicular Ad Hoc Networks: A Review

Inter Vehicle Distance Based Connectivity Aware Routing in Vehicular Adhoc Networks

A Clustering Algorithm Based on Zone in Vehicular Ad Hoc Networks

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