Joint Topology Reconstruction and Resource Allocation for UAV-IoT Networks

Due to high flexible deployment and enhanced transmission capabilities, unmanned aerial vehicle (UAV) has attracted significant attention in recent years. UAV can serve as base station to provide communication coverage for emerging internet of things (IoT) in hot-spot areas. Stable topology plays an important role in improving connection and efficiency of UAV-IoT networks. However, when UAV-IoT nodes fail, network topology is destoryed and reconstruction becomes a formidable challenge, particularly in extremely harsh scenarios. Traditional topology reconstruction schemes predominantly rely on node movement to restore network connectivity, which neglect the performances of UAV-IoT networks. To remain stability and promote performances simultaneously, this paper proposes a distributed resource scheduling topology reconstruction (DRSTR) scheme, where both connectivity and throuphput of UAV nodes are jointly considered. Then, an optimization problem combining topology reconstruction and resource allocation is presented under the constraints of UAV-IoT nodes’ quality of service (QoS) requirements. Since the difficulty in solving the problem, the original problem is divided into three sub-optimal issues and an iterative approach is introduced to approximate the global optimal solution. Numerical results show that the proposed shceme achieves higher performances in UAV-IoT networks, compared to the traditional topology reconstruction shcemes.