Performance Trade-Offs in IoT Enabled Drone Swarm for Amphibious Landing Operations

IoT enabled armed reconnaissance drones in swarms can conduct reconnaissance over large areas and launch coordinated attacks on valuable targets, which could be particularly useful in amphibious landing missions. Motivated by the rapid advance of the wireless backhaul technologies, in this work we demonstrate that the UAVs can share messages and perform cooperative beam forming for more efficient interference mitigation—a technique called Coordinate Multi-Point (CoMP) in the sky. The initial deployment of UAVs from the ground and the re-deployment of UAVs once an area is searched are also investigated for trade-offs to reduce energy costs and search time. Three strategies are compared that are scalable and decentralized, and require low computational and communication resources. Once finishing the frequency allocation, we maximize the minimum distance among subspaces spanned by codebook matrices obtained in Grassmannian subspace packing scheduling for the small unit of drone swarm. We expose our result for throughput–delay trade-off over a single-UAV-enabled network with GUs’ nominal locations and the UAV trajectories. The robustness of trade-offs is shown for the maximum transmit power and the receiver noise power as 20 dBm (0.1 W) and −110 dBm, respectively, while the channel power gain at the reference distance of 1 m is set as −50 dB. We observed that the optimized UAV trajectories are tend not only to shorten the communication distances between the UAVs and their associated GUs, but also to enlarge the separations of the two UAVs to help alleviate the cochannel interference, in the case without power control. Our outcomes encourage to solve the multi-UAV mobility prediction in a large-scale system state prediction such as Directional Airborne Network (DAN). It is observed that the UAV flies close to the two GUs by following a smooth trajectory with relatively large turning radii when Emax = 13 kJ; whereas when Emax is increased to 23 kJ, the UAV’s trajectory tends to approach that without the propulsion energy constraints. Capable of deployment from the ground, sea and air, proposed methodology of Synthetic Interference Matrix (SIM) could play a vital role in challenging missions including simultaneous and coordinated operation of a large number of drones that could prove to be very difficult to defend against.