Research On Wireless Sensor Network Development And Data Acquisition Algorithm Based On LoRaWAN Protocol

Wireless sensor networks are widely used.For example,in industrial field,wireless sensor networks can collect state data of industrial devices,so as to grasp real-time information of devices.In the field of environmental protection,the wireless sensor networks are deployed in the monitoring area,which can effectively to measure the diffusion of pollutants.In the field of aquaculture,the breeding environment can be monitored and the most suitable environment for the breeding is provided to improve the production.In the field of agroforestry,the wireless sensor networks are deployed in the monitoring area to collect agroforestry information,and the research of agroforestry can be better carried out.At present,there are many technologies for monitoring and collecting forest data by wireless sensor network.It is common to use Zigbee to organize network,use Nb-iot technology to network or use GPRS technology to send data directly to remote server via Internet.However,these technologies have many problems with the forestry field,does not apply to the forestry sector,such as signal Zigbee technology obstacle influence is serious,resulting in complex forest environment the transmission distance is very short,and the technology of high power consumption,and cannot work for a long time in the field.Although Nb-iot technology is an innovative technology in the field of Internet of things,the technology needs the support of professional base stations.At present,there are more Telecom base stations,but in most of the fields,there is no corresponding base station supporting the normal operation of Nb-iot network,so it is not suitable for forestry.And,the GPRS mode network also needs the support of the three operators,and the power consumption is high.In view of the current application of wireless sensor network technology in forestry,this paper researches and develops a wireless sensor network based on standard LoRaWAN protocol,which has many advantages,such as low power consumption,long time work support one-time power supply;the transmission distance,in no case of obstructions,point-to-point transmission distance up to 20 km,the transmission distance can reach 5km in forest environment;high security,LoRaWAN protocol data packet encryption;stability high,through single hop data sent directly to the gateway node.Without the support of the operators,sensor networks can be set up by themselves.It is therefore that this paper adopts the LoRa technology research and development of a set of suitable for forest detection in wireless sensor networks,so as to achieve the effect of forest acquisition factors.And based on the sensor network,a data acquisition algorithm is proposed.By analyzing the historical data,the monitoring range is divided into several similar attribute sub-regions,and the data similarity of sensor nodes in each sub-region is high.Therefore,the selected representative nodes in each sub region collect data and dormant other nodes,thus greatly reducing the redundant data collected by the sensor network and prolonging the network survival time.