Comparative Analysis of Machine Learning Algorithms for Early Prediction of Parkinson’s Disorder based on Voice Features
Volume-4 | Issue-4

Sentiment Analysis of Nepali COVID19 Tweets Using NB, SVM AND LSTM
Volume-3 | Issue-3

Detection of Fake Job Advertisements using Machine Learning algorithms
Volume-4 | Issue-3

AI-Integrated Proctoring System for Online Exams
Volume-4 | Issue-2

Deniable Authentication Encryption for Privacy Protection using Blockchain
Volume-3 | Issue-3

Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis
Volume-3 | Issue-4

Blockchain-Enabled Federated Learning on Kubernetes for Air Quality Prediction Applications
Volume-3 | Issue-3

Automated Waste Sorting with Delta Arm and YOLOv8 Detection
Volume-6 | Issue-3

Leather Defect Segmentation Using Semantic Segmentation Algorithms
Volume-4 | Issue-2

Enhancing Health Monitoring using Efficient Hyperparameter Optimization
Volume-4 | Issue-4

Real Time Anomaly Detection Techniques Using PySpark Frame Work
Volume-2 | Issue-1

Deniable Authentication Encryption for Privacy Protection using Blockchain
Volume-3 | Issue-3

Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis
Volume-3 | Issue-4

Sentiment Analysis of Nepali COVID19 Tweets Using NB, SVM AND LSTM
Volume-3 | Issue-3

Audio Tagging Using CNN Based Audio Neural Networks for Massive Data Processing
Volume-3 | Issue-4

Frontiers of AI beyond 2030: Novel Perspectives
Volume-4 | Issue-4

Smart Medical Nursing Care Unit based on Internet of Things for Emergency Healthcare
Volume-3 | Issue-4

Early Stage Detection of Crack in Glasses by Hybrid CNN Transformation Approach
Volume-3 | Issue-4

ARTIFICIAL INTELLIGENCE APPLICATION IN SMART WAREHOUSING ENVIRONMENT FOR AUTOMATED LOGISTICS
Volume-1 | Issue-2

Deep Convolution Neural Network Model for Credit-Card Fraud Detection and Alert
Volume-3 | Issue-2

Home / Archives / Volume-3 / Issue-1 / Article-6

Volume - 3 | Issue - 1 | march 2021

Artificial Bee Colony Optimization Algorithm for Enhancing Routing in Wireless Networks Open Access
 415
Pages: 62-71
DOI
10.36548/jaicn.2021.1.006
Published
29 March, 2021
Abstract

The throughput of wireless multi-channel networks are enhanced using artificial intelligence algorithm. The performance of the network may be improved while reducing the interference. This technique involves three steps namely creation of wireless environment specific model, performance optimization using the right tools and improvement of routing by selecting the performance indicators cautiously. Artificial bee colony optimization algorithm and its evaluative features positively affects communication in wireless networks. The simple behavior of bee agents in this algorithm assist in making synchronous and decentralized routing decisions. The advantages of this algorithm is evident from the MATLAB simulations. The nature inspired routing algorithm offers improved performance when compared to the existing state-of-the-art models. The simple agent model can improve the performance values of the network. The breadth first search variant is utilized for discovery and deterministic evaluation of multiple-paths in the network increasing the overall routing protocol output.

Keywords

Wireless networks throughput routing artificial intelligence artificial bee colony

×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee Nil
Annual Subscription Fee
200 USD
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here