Research On Toxic Gas Detection Algorithm With Wireless Sensor Networks Based On Proximity Graph

With the development and maturity of sensor manufacturing technology and wireless network communication technology,the use of miniaturized,highly integrated and multifunctional sensor nodes becomes a reality.These sensor nodes with information sensing,data processing and wireless communication capability form a wireless sensor network through self-organizing connection,cooperate to perceive,collect and process and transmit environmental data of various nature.As a special case of a continuous target,the toxic gas has the characteristics of easy diffusion,colorless and tasteless,and the sensing range of sensor nodes is usually limited,so it is difficult to determine its boundary area.Toxic gas has a certain risk,when the concentration reaches a certain value,it will pose a serious threat to the staff's life safety.Therefore,it is not only report the inner boundary of the toxic gas,and it is necessary to determine the range of the approximate boundary of the diffusion of toxic gas,so that we can know the dangerous area of toxic gas leakage.The research purpose of this paper is proposed a toxic gas leakage dangerous area detection algorithm to determine the dangerous area in petrochemical plant by using the wireless sensor network(WSN).In order to detect and calculate the dangerous area of toxic gas leakage more accurately,this paper introduces planarized proximity graph.Planarized proximity graph cuts the complex network topology into many clearly visible Face by a rule,which is easy to calculate the size of dangerous area of toxic gas leakage.In order to explore the influence of planarized proximity graph for the dangerous area of toxic gas leakage,this paper compares the five different planar proximity graphs of GG,RNG,Del,LDel~2and YG.Meanwhile,we explore the influence of different node densities and different toxic gas diffusion radius for the dangerous area of toxic gas leakage.Finally this paper also consider the scene of node failure and explores the effect of node failure scene on the size of dangerous area of toxic gas leakage.And the simulation results show that different planar proximity graphs result in different size of dangerous area of toxic gas and the size of area of detected by YG is smallest and the detection accuracy is most accurate.Different densities of nodes also have an impact on the size of dangerous area of toxic gas leakage.With the increase of density,the accuracy is higher,but it has little effect when the node density reaches a certain value.The value of the diffusion radius of toxic gas leakage also have an influence on the size of dangerous area of toxic gas leakage.With the increase of value,the accuracy is lower.After node fails,the size of dangerous area is increased and the accuracy is reduced.The percentage of failure node has an influence on the size of dangerous area of toxic gas leakage,and with the increase of failure percentage,the accuracy is lower.Simulation results can be used to guide us to better deploy sensor nodes and more accurately detect toxic gases in practical work.