Abstract:
Unmanned Aerial Vehicle (UAV) swarms are not common due to lack of readily available
coordinated protocols and applications for synchronizing UAV swarms in outdoor
environments. To solve the problem, this study design, implement, and evaluate a leaderfollower
Unmanned Aerial Vehicle Swarm Synchronization Protocol (UAVSSP). Unlike
other studies that deal with UAV swarm synchronization, this study introduces the concept of
pair correlation and back propagation communication scheme amongst UAVs in a swarm.
UAVSSP uses Standard Vicsek Model (SVM) Self-Propelled Particle (SPP) functions to
predict the velocity and position vectors in next time step (t+1) of a UAV within a swarm.
Furthermore, the protocol uses Directional pair correlation function to monitor the distance
between a UAV and its leader.
For implementation and evaluation of the UAVSSP, Virtual Robot Experimentation Platform
(V-Rep) was used to test 1) the cost of wireless transmission range on the synchronization
time of UAVs in different shapes using UAVSSP, 2) the cost of networking topology on the
synchronization time of UAVs using UAVSSP and 3) communication error rate using
UAVSSP. In the cost of wireless transmission range matrix, we were investigating the agility
of UAV swarm synchronization in different communication transmission range. The cost of
networking topology matrix was dealing with investigating the impacts of UAV networking
arrangement in a swarm.
From the experiments conducted, we learned that communication error rate above 3.5%
affect negatively the performance of UAVSSP. Adding on the above mentioned observation,
a developed protocol recorded high performance when using single-hop MANET routing in V
formation. Alteration of casting (unicasting, multicasting and broadcasting) method does not
affect UAVSSP performance.
K., O (2024). Unmanned aerial vehicle swarm synchronization protocol. Afribary. Retrieved from https://track.afribary.com/works/unmanned-aerial-vehicle-swarm-synchronization-protocol
K., Oganne "Unmanned aerial vehicle swarm synchronization protocol" Afribary. Afribary, 30 Mar. 2024, https://track.afribary.com/works/unmanned-aerial-vehicle-swarm-synchronization-protocol. Accessed 10 Nov. 2024.
K., Oganne . "Unmanned aerial vehicle swarm synchronization protocol". Afribary, Afribary, 30 Mar. 2024. Web. 10 Nov. 2024. < https://track.afribary.com/works/unmanned-aerial-vehicle-swarm-synchronization-protocol >.
K., Oganne . "Unmanned aerial vehicle swarm synchronization protocol" Afribary (2024). Accessed November 10, 2024. https://track.afribary.com/works/unmanned-aerial-vehicle-swarm-synchronization-protocol