Research And Implementation Of Large Capacity Ad-hoc Network Based On LoRaWAN Protocol

With the development of the Internet of Things technology,the Internet of Things can be used for the construction of private networks in remote areas.The application scenarios of this kind of network cover a wide area,the types and quantity of access devices are very large,and the functional requirements are extremely complex.In order to meet the construction requirements of low delay,large capacity and high availability of remote regional networks,this thesis proposes a LoRa network construction method based on API-LoRa gateway,which is a three-layer network construction method.Combining API gateway and LoRa technology,the separation of network functions from remote functions is realized on the basis of the unique binding of network terminals and gateways.By sacrificing the gateway selectivity of terminal devices,the network delay can be greatly attenuated,and the remote area Ad-hoc network can be rapidly developed,effectively deployed and easily used.The main work of this thesis is as follows:(1)Combined with the micro-service idea and LoRa technology,the LoRa gateway is transformed into ap I-LORA gateway with data response function,so that the network terminal data can be processed nearby,which successfully reduces the gateway upstream traffic by 94.5% and accelerates the terminal request response time by 32.3%.This reduces the impact of network conditions on the LoRa network and reduces the network latency,increasing the LoRa network deployment efficiency in remote areas.(2)An optimal gateway selection algorithm is proposed to enable network terminals to select the optimal API-LORA gateway,which can effectively improve the success rate of terminal uplink data receiving by 14.5%,reduce the conflict between terminals uplink data,and effectively relieve network congestion.(3)RPC framework and Reactor model were used to construct the gateway microservice framework.Through event invocation and asynchronous processing mechanism,convenient development and rapid deployment of gateway functions were realized,which significantly increased the availability and convenience of API-LORA gateway.(4)The gateway downlink data scheduling algorithm is proposed,which increases the success rate of gateway downlink transmission by 13.3%,successfully eliminates the conflicts between gateway downlink data,effectively utilizes gateway downlink resources,and increases gateway capacity.(5)On the basis of improving LoRa network structures,communication and control system,the validation of network connectivity and prove the system as a whole can run normally,and set up improvement LoRa network simulation platform,the gateway upward flow,network delay,network function test,the experimental results show that improved LoRa network can effectively achieve low latency,large capacity.