Research And Design Of Wireless Sensor Network In The Field Of Remote Water Quality Monitoring

Water quality monitoring is of great significance to water environment protection and water pollution control.However,at present,monitoring technologies of water quality in China mainly apply the manual sampling method,which has the disadvantages of time consuming and poor timeliness.With the advent of the Internet of Things,remote water quality monitoring technology based on wireless sensing network has gradually become a hot issue in this field.Aiming at the problems of high cost,high energy consumption and single data in the application of WSN in the field of remote water quality monitoring,this paper made the following studies:In order to reduce the localization cost,a multilateral centroid localization algorithm is proposed for resolving the problems: high-precision localization is expensive while the low-precision localization fails to meet the actual precision requirement.The proposed method optimizes the traditional RSSI centroid localization algorithm from two perspectives of swarm intelligence algorithm and multi-node reference localization.Experimental data show that the new algorithm has faster convergence speed and higher localization accuracy,which can further lower the proportion of the anchor nodes on the premise that the requirements for localization accuracy is met.In order to save system energy,because the traditional WSN routing protocol is not suitable to be applied in the field of large-scale monitoring due to its high energy consumption and premature death of nodes,a hierarchical clustering large-scale wireless routing protocol is proposed.This method first uses the idea of partition classification and multi-hop uploading to make cluster heads more evenly distributed in the monitoring interval,thereby improving the balance of network energy consumption;then use the optimized chaos algorithm and its corresponding fitness function to find out the optimal cluster head of each small interval,in order to further improve the utilization efficiency of network energy.Experimental data shows that this algorithm can reduce network energy consumption effectively and prolong the network life cycle.In order to obtain more comprehensive monitoring data,this paper chooses new model of dynamic encryption space(DDA)as the core communication technology of the system,which has the advantages of low power consumption and low cost.After constructing regional network,this paper uses C# language designing software to display interface,and realizes the unified collection and monitoring of the PH value,turbidity,electrical conductivity of remote water quality.Through various experiments and testing,the system operates well and can meet the basic application requirements for remote water quality monitoring.