Target Selecting And Path Arranging In Hybrid Wireless Sensor Networks Toxic Gas Detecting

Nowadays,the rapidly developed Internet of Tings require the ability handling information efficiently to deal with the intelligent application.Wireless sensor networks(WSNs),which act as an important interface between physical environment and Internet of Things,have been applied in numerous applications,such as industry,agriculture and environmental monitoring.As a kind of important application of WSNs,the continuous objects boundary detection is popular in industry.By using WSNs,the leakage of toxic gas in industry area could be detected in real time and be drawn in the map.However,the long-term maintenance for the traditional WSNs,which are used to monitor the leakage of toxic gas,is a waste of sensing resource.And current research just pays attention to the constitution of inner and outer boundary,ignoring the fuzzy area between inner and outer boundary.In the other hand,the demand of detecting the abnormal variation in the networks can't be satisfied by the traditional WSNs.Thus,we use sparse WSNs to address this issue.But,the inaccuracy of the sparse network is a big problem while the information of toxic gas is used to arrange retreat path for people.To access this problem,we propose our mechanism which used hybrid network to compromise the accuracy and cost of maintenance.The goal of this research is to propose an efficient method to arrange the mobile nodes traverse in sparse sensor networks which has amounts of sensing holes,while balancing the spatial and data variation significance of the target points.The static sensors are assumed that the communication radius much higher than the sensing radius to maintain communication in the sparse networks.We follow a strategy to propose a technique,which includes the following three contributions:Locate the initial candidate points which could fill up the sensing holes by Voronoi Diagram before the leakage of continuous objects.By the process of locating,sensing holes are eliminated from static WSNs and the sequence of elimination is theimportant degree for the candidate points to fill up the holes.Adjust priority of candidate points by date variation factor,which are the target points for mobile sensors.After continuous objects diffusion from the source,the boundary nodes could be detected by the communication with one-hop neighbors.The candidate points located in outer boundary will be picked up to evaluate data variation.The data variation points located in sensing disks of candidate points will promote the significance,which decides the priority of target points.Arrange the optimum path for mobiles sensors to the target points by taking priority and distance into consider.After the target points are decided,number of target list for mobile node should be picked up by circumstance of application and numbers of mobile nodes.The path is arranged by the priority of target points and distance between points cooperatively.In the experiment part,pseudocode has been used to describe algorithm.The experiment shows up the solvability of the algorithm.Experimental evaluation shows that there is an optimal amount of the static nodes decided by the sensing radius and the size of area.In the other hand,by setting different thresholds,the optimal path considering both distance and priority for the mobile sensor could be plan out.