Research And Implementation Of Low-power Consumption Wide-area IoT Protocol

Low-power Wide-area Internet of Things technology is a new technology proposed and designed for collecting sensor data in the long-range scenarios of the Internet of Things,and has important practical value.It is beneficial to collect remote node data and provide powerful guarantee for data access network.Researching and practicing low-power wide-area Internet of Things technology is essential for collecting and aggregating data,providing the foundation for back-end big data analysis,machine learning,etc.The characteristics of nodes in the system,including low power consumption,long distance,low cost,and simple networking,have attracted the attention of scholars.This paper mainly analyzes and studies low-power wide-area IoT technology,and builds a basic verification system.This paper analyzes the overall architecture of the low-power wide-area IoT,including its basic concepts,network models,and communication technology features,etc.And also analyzes and compares the communication characteristics,communication scenarios,and advantages and disadvantages of the current mainstream low-power wide-area IoT technologies.Secondly,the specific LoRaWAN protocol is taken as an example,the analysis and research are carried out.Through analysis,it is found that the channel access control mechanism in the protocol has the problems of poor scalability,low channel utilization,extended access time,and high collision probability.In order to solve the above problems,an enhanced channel access control mechanism is designed.That is,a dynamic listening backoff mechanism.The improved listen-before-talk mechanism is combined with the current state of the channel to adaptively adjust the backoff window size.Thereby reducing the collision of data packets in the network and the loss of power consumption of node retransmission,and improving the success rate of transmission.This paper studied the adaptive data rate adjustment mechanism of the nodes in LoRaWAN protocol.Through analysis,it was found that the original mechanism in the protocol was insensitive to deterioration of network conditions and channel fluctuations,and it could not be adjusted in a time.For better adaptive adjustment,an adaptive data rate adjustment mechanism based on deep reinforcement learning network is designed.This algorithm is based on the model of deep reinforcement learning network.Through dynamic learning channel changes,the maximum transmission rate of Lo Ra terminals is predicted and selected.According to the results,the terminal can use the maximum transmission rate to complete the communication while ensuring normal communication,and reduce power consumption by improving communication efficiency.This paper designs and implements the low-power wide-area Internet of Things based on the LoRaWAN protocol,and designs the nodes and gateways of the Lo Ra network,including node radio frequency modules,interfaces,data transceiver,and gateway communication forwarding,etc.Using open source Lo Ra Server to build the entire network system,a basic low-power consumption wide-area IoT system was completed,which verified the basic functions and feasibility of the design.