Mobility prediction for re-routing strategy in drone networks

Angel Freddy Ganapaza; Francesco Colosimo

doi:10.1117/12.3016995

7 June 2024 Mobility prediction for re-routing strategy in drone networks

Angel Freddy Ganapaza, Francesco Colosimo

Proceedings Volume 13055, Unmanned Systems Technology XXVI; 130550R (2024) https://doi.org/10.1117/12.3016995
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

The use of drone networks in telecommunication especially in emergency situations has been increasing during the last years. The deployment of drones in the absence of network infrastructure or in cooperation with critical ones represents an important aid to guarantee the continuity of the services toward the clients. This paper introduces a modified Link-State routing method capable of regularly updating the link status of drones and dynamically reconfiguring the network topology, as well as re-routing current and incoming calls through paths with greater available bandwidth. To determine the optimal path for transmitting traffic between source and destination drones, we propose a modified version of the Ford-Fulkerson algorithm, considering the path with the highest remaining capacity. Additionally, we integrated a simple mobility prediction mechanism into the drone’s capabilities to accelerate route pre-computation during user movement, thereby preventing and minimizing packet loss.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Angel Freddy Ganapaza and Francesco Colosimo "Mobility prediction for re-routing strategy in drone networks", Proc. SPIE 13055, Unmanned Systems Technology XXVI, 130550R (7 June 2024); https://doi.org/10.1117/12.3016995

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available