Research On Routing Algorithm For Uav AD-HOC Network

Today, UAV technology reflects the growing practical value in civil and military aviation sector, but in today’s largest internet era, UAV AD-HOC(mobile self-organizing) network routing technology will increasingly become important key technologies of a national strategy for the future of UAV.Nowadays, a lot of routing technologies have been applied in the traditional AD-HOC network. However, these routing technologies which used in the UAV AD-HOC network can cause network performance degradation. Therefore, this paper will focus on UAV AD-HOC network and study and improve routing algorithm to improve network performance. Mainly in the following two ways:(1) In the same level structure,according to the features of node movement fast, topological changes quickly, heavy load, battery energy shortage in the UAV AD-HOC network, use UAVs in front end of combat as the research object. In order to be able to perceive the local area node topology stable condition, congestion and energy consumption,through establish local average stability model,gets the congestion node of the MAC layer, and compute the relative residual energy of nodes, fusion node local average stability, load degree and relative surplus energy index into the OLSR routing protocol, design a adaptive OLSR routing algorithm which can aware mobility,congestion and energy(MCEA-OLSR, Mobility and Energy with Congestion Aware-OLSR). Using network simulation to designed and implemented the MECA-OLSR. Simulation results show that the network performance of MECA-OLSR is better than the classic OLSR.(2) In the hierarchical structure, in order to improve relay UAV AD-HOC network expandability, according to local average stability mentioned above. UAV cluster uses adaptive clustering routing protocol which based on the local average stability(ADC routing protocol,Adapted With Degree of Local Average Stability Clustering Routing Protocol). Then on this basis, through in-depth analysis and derive mathematical relationship of average communication delay with the number of clustering and get the best clustering value. In the OPNET network simulation platform to design and achieve the best clustering value model based on the ADC Clustering Routing. Verifing the consistency of the best clustering value with the derived mathematical model under the hierarchical structure. Finally, simulation results verify the better network performance of the best clustering value with the ADC algorithm than the best clustering value without the ADC algorithm.Two routing algorithm mechanism, thought and protocol design guidelines which presented in this paper has been used in the project in a research institute and it not only can be applied to UAV AD-HOC network, but also other AD-HOC network can apply this algorithm.