Research Of Networking Algorithm Under Cognitive Radio Adhoc Networks

Cognitive wireless ad hoc network is a wireless communication network based on cognitive radio equipment.It not only has the characteristics of multi-hop multi-channel,dynamic topology and flexible control,but also has the ability to adaptively and dynamically adjust the radio environment and effectively alleviate Spectrum resources shortage and other issues,widely used in military battlefields,post-disaster reconstruction,emergency communications and other special areas.Cognitive wireless ad hoc network networking algorithm is an important part of its research and application,the current study of cognitive ad hoc network networking algorithms mostly involve only point-to-point single-hop node intersection algorithm,multi-terminal multi-hop Topology discovery algorithms generally need to rely on a dedicated common control channel or a central controller.Meanwhile,the special application scenarios of cognitive ad hoc networks put forward new requirements on the network topology.In view of the above problems,this paper focuses on the multi-terminal multi-hop topology discovery algorithm and multi-terminal topology optimization algorithm,and solve the problem based on specific problems,complete the theoretical derivation and simulation verification,the specific content is as follows.In this paper,multi-terminal topology discovery algorithm usually needs common control channel.A multi-terminal networking algorithm based on tree structure is proposed.The whole networking process does not need common control channel and avoids the difficulties and constraints caused by central control.By analyzing the application scenarios and user characteristics of cognitive ad hoc networks,this paper proposes networking scenario hypotheses and modeling analysis.Combining with the entire topology discovery algorithm,this paper presents a scheme of topology maintenance and communication link establishment.Finally,the network topology discovery process And the network performance were simulated.The optimal solution of the algorithm parameters and the optimal topology structure for a given number of users were obtained by simulation results.Aiming at the demand for network connectivity and survivability of network under special application scenarios,this paper proposes a network optimization algorithm based on topology discovery to optimize network topology.According to the dynamic characteristics of cognitive ad hoc networks,the paper analyzes the main factors affecting network lifetime,studies the network life optimization problem of cognitive ad hoc networks,models the network lifetime of cognitive ad hoc networks,finds the objective function and constraints,Graph theory analysis deduces the optimal solution,that is,maximizes the network life,and further enhances the network performance of cognitive ad hoc networks.Finally,through simulation comparison,the rationality of theoretical analysis and the feasibility of the algorithm are verified.