Towards mobility as a network control primitive
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Experimental evaluation of wireless simulation assumptions
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Impact of radio propagation models in vehicular ad hoc networks simulations
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
The effect of the radio wave propagation model in mobile ad hoc networks
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Proceedings of the 1st international conference on Robot communication and coordination
Multiple UAVs path planning algorithms: a comparative study
Fuzzy Optimization and Decision Making
Networking Issues for Small Unmanned Aircraft Systems
Journal of Intelligent and Robotic Systems
Automatic algorithm configuration based on local search
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Evaluation of an OPNET model for unmanned aerial vehicle (UAV) networks
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
An Overview of MANETs Simulation
Electronic Notes in Theoretical Computer Science (ENTCS)
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Optimality bounds of the connectivity of adhoc networks with beamforming antennas
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Iterative MILP methods for vehicle-control problems
IEEE Transactions on Robotics
Control of systems integrating logic, dynamics, and constraints
Automatica (Journal of IFAC)
Journal of Intelligent and Robotic Systems
Position Unmanned Aerial Vehicles in the Mobile Ad Hoc Network
Journal of Intelligent and Robotic Systems
Hi-index | 0.00 |
We will in this paper address the problem of offline path planning for Unmanned Aerial Vehicles (UAVs). Our goal is to find paths that meet mission objectives, are safe with respect to collision and grounding, fuel efficient and satisfy criteria for communication. Due to the many nonconvex constraints of the problem, Mixed Integer Linear Programming (MILP) will be used in finding the path. Approximate communication constraints and terrain avoidance constraints are used in the MILP formulation. To achieve more accurate prediction of the ability to communicate, the path is then analyzed in the radio propagation toolbox SPLAT!, and if the UAVs are not able to communicate according to design criteria for bandwidth, constraints are modified in the optimization problem in an iterative manner. The approach is exemplified with the following setup: The path of two UAVs are planned so they can serve as relay nodes between a target without line of sight to the base station.