QoS Guarantee Mechanism Research Based On Event-driven In UAV Formation Network

As a frontier device of many countries in the world, Unmanned Aerial Vehicle(UAV) combines aviation, information, flying control, measure and control, sensor, new material and new energy technologies together. It represents the future development direction of industry. However, as the missions of UAV are more and more complicated, a single UAV must deal with multiple functions. So, research of autonomous formation flight of UAVs has attracted attention of people. The autonomous UAV formation flight can accomplish some complicated missions through cooperation of multiple vehicles without manual intervention. How to create a reliable communication network, achieve reliable and efficient transmission of various types of data, are the most pressing issues.In order to support precision formation flying mission, UAV formation requires inter-satellites communication links with reliable and efficient performance. The concept of Mobile Ad hoc Network has been used to develop a novel communication system for service and control networks to provide high-quality broadband service with higher system capacity and reliability. It will be able to support both real-time control messages and UAVs service messages simultaneously. It forms a control sub-network in mesh architecture for time-critical control packets, and a service sub-network in Point-to-Multipoint architecture for high speed service packets. As the transmission of real-time control messages is the basis of formation flying. In order to improve the survival properties of the UAVs formation, we are in dire need to research the Qo S guarantying mechanism of control information.According to the characteristics of UAV application scenarios and requirements, the paper mainly studies Qo S guarantee mechanism of UAV formation based on the event-driven. The proposed MAC protocol is based on event-driven that each UAV adjusts its contention parameters to the arrival of primary event and secondary event. It makes the information of emergency event has higher priority than other normal flight information. Thus the survival performance of UAV formation can be increased. We also developed a three dimensional markov chain analysis model to model the proposed protocol, so we can find an appropriate contention window to have a more reasonable utilization of energy and spectrum of network. Our simulation results show that the proposed protocol achieved real-time transmission ability of emergency data through adopting the optimal contention parameters. The proposed protocol can guarantee safety of UAV formation. It has a certain reference value for the related research on future UAV communication network.