Optimizing Three Dimensional Coverage of Short Range Transmitter Considering Topography (Case study: UAV)

Coverage problem is one of the location/allocation problems that is used to minimize service point and provide more facilities. The solution for complete coverage is using short-range radio or electromagnetic transducers to improve coverage in areas where topography does not allow long-range transmitter coverage. The most important innovation of this research is the development of a three-dimensional spatial model to optimize the coverage of short-range transmitters in areas out of the coverage of long-range transmitters. The case study is full coverage of a UAV's route to disconnect its communication to the control center. In this model, by identifying the effective parameters of the UAV’s routing and the effective parameters of the transmitter function, a spatial model is developed to optimize the number of transmitters to achieve the highest coverage with the lowest number of transmitters. By using the proposed model, the UAV navigation system is disconnected and the result shows that the number of transmitters with a 90% efficiency decreased by about 30% compared to the conventional models.