An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
Volume-3 | Issue-3
Design of Distribution Transformer Health Management System using IoT Sensors
Volume-3 | Issue-3
Energy Management System in the Vehicles using Three Level Neuro Fuzzy Logic
Volume-3 | Issue-3
Cloud Load Estimation with Deep Logarithmic Network for Workload and Time Series Optimization
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Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
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Review on Data Securing Techniques for Internet of Medical Things
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Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
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Population Based Meta Heuristics Algorithm for Performance Improvement of Feed Forward Neural Network
Volume-2 | Issue-1
Comparative Analysis of an Efficient Image Denoising Method for Wireless Multimedia Sensor Network Images in Transform Domain
Volume-3 | Issue-3
A Comprehensive Review on Power Efficient Fault Tolerance Models in High Performance Computation Systems
Volume-3 | Issue-3
An Integrated Approach for Crop Production Analysis from Geographic Information System Data using SqueezeNet
Volume-3 | Issue-4
An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
Volume-3 | Issue-3
Design of Distribution Transformer Health Management System using IoT Sensors
Volume-3 | Issue-3
Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
Volume-3 | Issue-4
Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
Volume-3 | Issue-4
Effective Prediction of Online Reviews for Improvement of Customer Recommendation Services by Hybrid Classification Approach
Volume-3 | Issue-4
Acoustic Features Based Emotional Speech Signal Categorization by Advanced Linear Discriminator Analysis
Volume-3 | Issue-4
Analysis of Statistical Trends of Future Air Pollutants for Accurate Prediction
Volume-3 | Issue-4
Identification of Electricity Threat and Performance Analysis using LSTM and RUSBoost Methodology
Volume-3 | Issue-4
Review on Data Securing Techniques for Internet of Medical Things
Volume-3 | Issue-3
Volume - 1 | Issue - 2 | december 2019
Published
December, 2019
The vehicular network that scopes to reach the internet access to make use of the available service on road along with the improvement in the safety and convenience while travelling has become a very popular area of research as they lay as the foundation for the intelligent transportation system. But due to the high mobility of the vehicles the network topology remains dynamic and the connectivity between the vehicles keep on changing reducing the life expectancy of the links and failures in the delivery of the services. So this paves way for the entailment of the more effective routing protocol that would heighten the vehicular network quality of service. The proposed method in the paper puts forth the modified Ant colony optimization that integrates the clustering technique to frame optimal shortest route for the internet access in the vehicular network to manage its mobility and the topology changes. The process of optimal route selection taking into consideration the mobility and the dynamic topology is evaluated using the network simulator tool to prove the capabilities of the proposed method on the grounds of bandwidth utilization throughput delay and link life expectancy.
KeywordsVehicular Network Soft Computing Evolutionary Algorithm Ant Colony Optimization Clustering Quality of Service
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