Research On Optimization Of DSR Protocol For UAV Ad Hoc Network

With the rapid development of drone technology,unmanned aerial vehicle ad hoc networks(UANET)have become a prominent research area in drone applications.UANET can solve communication barriers between drones and are widely used in military and civilian fields.However,the problem of uneven energy consumption among drone nodes and poor link communication stability remain major bottlenecks restricting the performance of UANET,and suitable routing protocols are key to addressing these issues.Dynamic Source Routing(DSR)protocol is widely used in resource-limited ad hoc networks and has low routing overhead and high network performance.This thesis studies and improves the DSR protocol for energy consumption and link communication stability issues in UANET.Firstly,based on the characteristics of UANET,the features of the DSR protocol were analyzed through the sorting of option information.After researching the basic principles of the Aquila Optimizer(AO)algorithm and the Arithmetic Optimization Algorithm(AOA),the energy consumption and link stability evaluation indicators for UANET nodes were determined.The DSR protocol experimental platform based on the OPNET Modeler simulation environment was constructed,laying the theoretical and experimental foundations for the improvement and research of the DSR protocol in UANET.Secondly,a new protocol named Hybrid Algorithm of Aquila Optimizer With Arithmetic Optimization Algorithm of Dynamic Source Routing(AOAOA-DSR)was proposed to solve the problem of uneven energy consumption among nodes in UANET,which could cause premature dropout of drone nodes and interrupt communication.The algorithm comprehensively considers factors such as energy efficiency,loss efficiency,link estimation time,and congestion efficiency,and introduces weight coefficients to determine the node’s energy reliability.In the UAV cluster,nodes that meet the requirements of energy reliability are selected as alternate routing forwarding nodes.Based on the energy reliability of the alternate nodes,the energy reliability of multiple paths is calculated,and a fitness function is constructed by combining the path hop count.The AOAOA algorithm is used to comprehensively optimize the path selection process of the DSR protocol,resulting in the optimal path.Simulation results show that AOAOA-DSR is superior to several existing DSR protocols in energy consumption,throughput,and average end-to-end delay.Finally,a Velocity-Aware and Stability-Estimation–Based Multi-Path Dynamic Source Routing(Va Se-DSR)protocol was proposed to address the problem of poor link stability between nodes in UANETs,resulting in unstable end-to-end transmission of data flows.The Va Se-DSR protocol selects nodes with sufficient energy reliability as the basis for route discovery and considers factors such as the speed vector angle between nodes and the remaining link lifetime to select nodes with comprehensive reliability to forward route request packets.In the route maintenance process,a multiple-path selection mechanism based on path similarity and remaining path lifetime is used.Simulation results show that Va Se-DSR is superior to existing DSR protocols for link stability in terms of network throughput,average end-to-end delay of data transmission,energy consumption,and convergence time of route discovery.