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 - 2 | Issue - 3 | september 2020
Published
05 August, 2020
- The recent technology development increases the opportunity to create valuable network services to user. Flying ad-hoc networks (FANET) in one among them which evolved recently with enhanced value added services with common features similar to its predecessor ad-hoc networks like vehicular ad hoc networks (VANET) and mobile ad hoc networks (MANET). Due to its distinctive features FANETs are widely preferred in recent telecommunication services which requires high quality of services, efficiency, environment adaptability and scalability. In order to achieve high efficiency multiple aerial vehicles are used in general architectures. The Communication in such vehicles are progressed directly between the nodes or through relay nodes. Routing is an important process to establish a connection link between the nodes in the architecture. This research work proposed a routing strategy suitable for dynamic and static environments as a hybrid optimization model which reduces the issues in link establishment. Nature inspired bee colony optimization is used along with conventional routing algorithms such as optimized link state routing protocol and Dynamic Source Routing Protocol to improve the link discovery. The proposed optimized routing outperforms well in reduced delay and communication overhead of the network.
KeywordsFlying Ad hoc Networks Routing Active and Reactive topology
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