Dissemination Of Sensing Inform-Ation And Topology Management Method Research For Intellige-Nt Machine Network

Intelligent machine network has been widely deployed and applied in Fifth Generation(5G)mobile communication technology,and there are two important requirements of wide-area awareness and fast networking.As the range of sensing information obtained by a single node is limited,neighbor discovery,as a key step of wireless network initialization,is not fast enough in convergence,and there is a lack of relevant research on neighbor maintenance.Therefore,existing technologies are insufficient to support wide-area awareness and fast networking.Considering the complementarity of radar detection,positioning and neighbor discovery,this paper studies the dissemination of sensing information and topology management method for intelligent machine network against the background of wide-area sensing and fast networking requirements under the integration of radar communication.Firstly,taking VANET(Vehicular Ad Hoc Network)scenario in intelligent machine networks as an example,GSIM-ND algorithm is proposed as a fast sensing information dissemination and topology discovery method for the uneven distribution of neighbors in each beam direction and incomplete sensing information about neighbors.The recursive expression of the expected number of directly or indirectly discovered neighbors in a given period is derived.Moreover,the upper and lower bounds of the expected number of time slots required for discovering a given number of neighbors are derived also.The simulation results confirm the correctness of the theoretical derivation and the GSIM-ND algorithm can reduce the time cost by 40%-90%compared with the CRA(Completely Random Algorithm),SBA(Scan-based Algorithm)and gossip-based algorithm.Then,based on the node trajectory prediction model and GSIM-ND algorithm,a periodic neighbor update mechanism is proposed to maintain high quality neighbor information table for a long time.Based on high quality neighbor information table,this paper proposes HRM algorithm for data transmission and route discovery in network,and a path quality evaluation method for selecting the optimal path among multiple available paths.This HRM algorithm realizes efficient and stable route management through neighbor table drive,on-demand route discovery and adjustable greedy strategy.The neighbor update mechanism and HRM algorithm jointly implement an efficient topology maintenance method assisted by sensing information.The simulation results verify the correctness of motion prediction and neighbor maintenance,and the HRM algorithm can reduce 20%-94%time cost and 30%-86%communication cost compared with table driven routing algorithm,on-demand routing algorithm and geo-location based routing algorithm.