An Adaptive Yao-based topology control algorithm for wireless ad-hoc networks

Force-Based Self-Organizing MANET/FANET with a UAV Swarm

“…This has the potential to make wireless networks flexible and more resilient to failures [1]. Due to this potential, MANETs are currently deployed in commercial [2,3], as well as in military [2,4,5], and in civil [6,7] security [8] applications and have spawned specialized sub-fields such as Vehicular Ad Hoc Networks (VANETs) [2,[9][10][11].…”

“…However, the broad and growing applicability of MANETs comes with its own set of challenges. At the forefront of these is the issue of maintaining network performance in the face of dynamic topologies [3,7,11]. As nodes in a MANET are inherently (potentially) mobile, the network topology can change rapidly and unpredictably.…”

“…MANETs have the potential to transform wireless communication due to their flexibility and self-organizing capabilities [34][35][36]. Despite this potential, they face significant challenges [4,5,7,12,[14][15][16]29] that can hinder their optimal operation. Understanding these challenges is crucial to improving their robustness, security, and efficiency.…”

“…Please note that while r i,j = r j,i , this symmetry does not hold for dx or dy (meaning that dx i,j = dx i,j ) as either of these is directional, i.e., will always differ in their sign when reversed (dx i,j = −dx i,j ). This comes back in Equations ( 5)- (7) where it determines the resulting direction of the force, i.e., whether the force is attractive or repulsive.…”

“…Adaptive network topology [7,16]: when drones are launched with the express goal of becoming members in a MANET, their movement can be designed to contribute to this goal. Due to this, drones that have no other objective can collaborate with those that do by optimizing their position to improve the overall performance of the MANET.…”