Cellular Controlled Cooperative Unmanned Aerial Vehicle Networks with Sense-and-Send Protocol
It addresses the problem of efficient cooperative sensing in UAV networks, but the 15% improvement is incremental.
This paper proposes a sense-and-send protocol for cellular-controlled UAV networks and formulates an optimization problem to minimize task completion time. The proposed ITSSO algorithm reduces completion time by 15% compared to a non-cooperative scheme.
In this paper, we consider a cellular controlled unmanned aerial vehicle (UAV) sensing network in which multiple UAVs cooperatively complete each sensing task. We first propose a sense-and-send protocol where the UAVs collect sensory data of the tasks and transmit the collected data to the base station. We then formulate a joint trajectory, sensing location, and UAV scheduling optimization problem that minimizes the completion time for all the sensing tasks in the network. To solve this NP-hard problem efficiently, we decouple it into three sub-problems: trajectory optimization, sensing location optimization, and UAV scheduling. An iterative trajectory, sensing, and scheduling optimization (ITSSO) algorithm is proposed to solve these sub-problems jointly. The convergence and complexity of the ITSSO algorithm, together with the system performance are analysed. Simulation results show that the proposed ITSSO algorithm saves the task completion time by 15% compared to the non-cooperative scheme.