Research On Ad Hoc Network Routing Protocol Of Search And Rescue UAV

With the wide application of UAV in civil and military fields,the support function of UAV group in search and rescue field has been paid more and more attention.Drones were used to search for survivors after Hurricane Katrina in the US in 2018.In recent years,the occurrence of some natural disasters has also aroused the country’s further attention to emergency management,disaster prevention and relief,so there is an urgent need for the application of UAV in this field.Flying Ad hoc networking(FANET)is an important networking method for UAV communication,which is a relatively new research focus in the field of Ad hoc networking.The research in this field often improves the routing protocol in manet and tests and verifies the new protocol on the mobile model suitable for application scenarios to prove the performance advantages of the new protocol.Therefore,in order to study the FANET in search and rescue scenarios,it is necessary to study a special mobile model and a stable low-delay routing protocol.The existing research on the mobile model of FANET has gradually stepped into the three-dimensional field.At the same time,artificial intelligence technology,especially neural network technology,develops rapidly and is increasingly used to solve problems in other fields.In this thesis,by studying the UAV mobility modeling in the search and rescue scene,a three-dimensional semi-random circular motion model(3DSRCM)is proposed for this scene to solve the problem that there is no threedimensional movement model available in this scene.At the same time,the traditional optimized link-state routing protocol(OLSR)with better network performance under this model is studied.Combining Kalman filter algorithm and neural network technology in the traditional aviation field,a Kalman filter neural network mobility prediction routing protocol(KNNMP-OLSR)with better network stability is proposed.This protocol contains two schemes.This scenario applies to scenarios where historical task data is sufficient and emergency task data is insufficient.Finally,based on 3DSRCM,KNNMP-OLSR routing protocol is improved to adapt to 3d mobile scene.The simulation results show that compared with the two-dimensional version,the 3DSRCM proposed in this thesis improves the area coverage speed and the smoothness of the track,and basically ensures the uniform distribution of nodes.In addition,the boundary and anti-collision mechanism are supplemented.KNNMP-OLSR has better packet delivery rate than traditional routing protocol OLSR in both 2d and 3D scenarios,and the average improvement is about 20%to 15%respectively,which proves the effectiveness of the algorithm.This thesis also analyzes the performance of other traditional routing protocols under the new model and the influence of node speed and number variation under different mobile models on the performance of the new protocol network.