Abstract: To increase the coverage of MIoTs(Maritime Internet-of-Things) devices, a coverage Optimization algorithm based on Deployment of MEC-UAV(UMCO: MEC-UAV-based Coverage Optimization algorithm) is proposed. In UMCO, MEC(Mobile Edge Computing) empowered UAVs(Unmanned Aerial Vehicles) is used to meet the network coverage demand for MIoT, and to maximize the network profit. We formulate a problem of joint MEC-UAVs deployment and their association with MIoT devices as an ILP(Integer Linear Programming) to maximize the network profit. An iterative algorithm is developed based on the Bender decomposition to solve the ILP. Finally, numerical results demonstrate that the proposed UMCO algorithm achieves a near-optimal solution.

Key words: maritime internet-of-things ( MIoTs), unmanned aerial vehicle ( UAV), mobile edge computing (MEC), benders decomposition, network profit