Research On Mobile Ad-Hoc Network Routing Algorithm Of Pigeon Biorobot Cluster

The research of biological flying robots has important practical value in military reconnaissance and long-range search.Pigeons have the instinct to know their way back to the nest and are highly stealthy,so they have received a lot of attention in the research of biological robots.The technology research on group communication within pigeon flocks is still lacking instead of transmitting control information to single pigeon robots has matured.This thesis improve the mobile Ad-Hoc network combines the biological characteristics and group characteristics of pigeons according to the size of pigeon flock under different task demands,that it can be applied to pigeon flock network.The two main areas of work are as follows.(1)In the small-scale pigeon flock application scenario,the PF-OLSR routing protocol(Pigeon Flock-OLSR)based on pigeon flock characteristics is using ant colony algorithm to optimize the OLSR planar routing protocol for its drawback of large redundancy.In the probabilistic selection formula of the ant colony algorithm,the influence factors of node speed and energy are added according to the biological characteristics of the pigeon population.In the iterative update process of the ant colony algorithm,the iterative optimization mechanism of pheromones is designed considering the superposition and volatility factors of pheromones.The local database format of the PF-OLSR protocol was improved in the process of building the simulation.The simulation results show that PF-OLSR is more suitable for small-scale pigeonhole networks than OLSR.The number of MPR nodes in PF-OLSR is significantly reduce,the network topology is quite stable,and the throughput is obvious increase.(2)In the large-scale pigeon flock application scenarios,the hierarchical structure of mobile Ad-Hoc networks is needed to further extend.The article improves the weights of WCA algorithm and designs a weighted clustering algorithm PF-WCA(Pigeon Flock-WCA)based on the flight characteristics of pigeon flocks.PF-WCA proposes a weighted clustering algorithm based on two biological characteristics,social rank and pilotage rank,in pigeon flocks,with reference to node neighbor relatedness weights,pilotage rank weights,average mobility weights and energy weights of nodes.The algorithm constructs the formation process and update process of the pigeon flock network in detail.Subsequently,the weighted clustering algorithm was implemented on the OPNET simulation platform,and the message format and data link library format of PF-WCA were improved.The simulation results show that PF-WCA has better adaptability for large-scale pigeonhole networks.The thesis analyzes the application scenarios of these two different scale algorithms,concludes with a summary of the full work and an analysis of the next research directions for military applications of pigeon flock networks based on the existing content.