Abstract

In the last decades, flying ad-hoc networks (FANET) have provided unique features in the field of unmanned aerial vehicles (UAVs). This work intends to propose an efficient algorithm for secure load balancing in FANET. It is performed with the combination of the firefly algorithm and radio propagation model. To provide the optimal path and to improve the data communication of different nodes, two-ray and shadow fading models are used, which secured the multiple UAVs in some high-level applications. The performance analysis of the proposed efficient optimization technique is compared in terms of packet loss, throughput, end-to-end delay, and routing overhead. Simulation results showed that the secure firefly algorithm and radio propagation models demonstrated the least packet loss, maximum throughput, least delay, and least overhead compared with other existing techniques and models.

Highlights

  • A flying ad-hoc network is a self-organizing wireless network and it takes the form of MANETs and VANETs

  • unmanned aerial vehicles (UAVs)-2-UAV can be used for short-range as well as for long-range communication, which is based on the rate of transmission of information

  • We need to apply post-processing on the best results so far and need to visualize the flying nodes

Read more

Summary

Introduction

A flying ad-hoc network is a self-organizing wireless network and it takes the form of MANETs (mobile ad-hoc networks) and VANETs (vehicular ad-hoc networks). To perform different kinds of operations, FANETs use driverless aircraft which are known as unmanned aerial vehicles [1,2,3,4,5,6]. These can be installed in non-deterministic areas. UAV-2-UAV can be used for short-range as well as for long-range communication, which is based on the rate of transmission of information (indicated as a green line). UAV-2-Infrastructure communication can be used for transmitting and receiving data (indicated as red line) on various operations (either from a base station or from satellite)

Objectives
Methods
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call