A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications
Volume-3 | Issue-3
A Review on Finding Efficient Approach to Detect Customer Emotion Analysis using Deep Learning Analysis
Volume-3 | Issue-2
A Comparative Analysis of Prediction of Student Results Using Decision Trees and Random Forest
Volume-4 | Issue-3
Study of Security Mechanisms to Create a Secure Cloud in a Virtual Environment with the Support of Cloud Service Providers
Volume-2 | Issue-3
Construction of Black Box to Detect the Location of Road Mishap in Remote Area in the IoT Domain
Volume-3 | Issue-2
Fault Diagnosis in Hybrid Renewable Energy Sources with Machine Learning Approach
Volume-3 | Issue-3
Secure and Optimized Cloud-Based Cyber-Physical Systems with Memory-Aware Scheduling Scheme
Volume-2 | Issue-3
Stochastic Geometry and Performance Analysis of Large Scale Wireless Networks
Volume-3 | Issue-3
Computer Vision on IOT Based Patient Preference Management System
Volume-2 | Issue-2
Fake News Detection using Data Mining Techniques
Volume-3 | Issue-4
A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications
Volume-3 | Issue-3
Fake News Detection using Data Mining Techniques
Volume-3 | Issue-4
A Comparative Analysis of Prediction of Student Results Using Decision Trees and Random Forest
Volume-4 | Issue-3
Speedy Detection Module for Abandoned Belongings in Airport Using Improved Image Processing Technique
Volume-3 | Issue-4
Deployment of Artificial Intelligence with Bootstrapped Meta-Learning in Cyber Security
Volume-4 | Issue-3
Design an Early Detection and Classification for Diabetic Retinopathy by Deep Feature Extraction based Convolution Neural Network
Volume-3 | Issue-2
Design of an Intelligent Approach on Capsule Networks to Detect Forged Images
Volume-3 | Issue-3
Future Challenges of the Internet of Things in the Health Care Domain - An Overview
Volume-3 | Issue-4
Construction of Black Box to Detect the Location of Road Mishap in Remote Area in the IoT Domain
Volume-3 | Issue-2
A Review on Finding Efficient Approach to Detect Customer Emotion Analysis using Deep Learning Analysis
Volume-3 | Issue-2
Volume - 3 | Issue - 1 | march 2021
Published
06 May, 2021
Vehicular ad-hoc Network (VANET) for buses provides a good solution with inconsistent and high dynamic structure of a typical network. In this work, Street-centric routing algorithm is used for internet of energy for the bus-based VANET to optimize relay bus and route selection issues. As the initial step, we have used a multipath routing system that uses probability of path consistency and street consistency. This methodology is observed to positively improve end-to-end delay and also the packet delivery ratio. The next step is to optimize the characteristics of packet forwarding by means of an Ant Colony Optimization (ACO) methodology as the mechanism for relay-bus selection. The main goal of this paper is to transmit packets to the next forwarding relay with the help of relay-bus. On experimental analysis, the results indicate that there is a significant improvement in relay-bus choosing by reducing the end-to-end delay, cost of computation and unwanted beacon messages. Based on the analysis, we have arrived at the conclusion that the use of clustering and multipath will positively improve the performance of the proposed work.
Keywordsinternet of energy relay selection multipath routing clustering Ant Colony Optimization
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