Stochastic Deployment Model Of Barrier Coverage In Wireless Sensor Networks

Wireless Sensor Networks(WSNs)is a kind of brand-new information acqui-sition and processing technology,which widely used in the fields such as military,industrial and civilian,is currently a very active area of research.Coverage prob-lem is a basic and popular research problem in wireless sensor network,it reflects the quality of monitoring area in wireless sensor network.The quality of moni-toring quality can reflect the size of the resources optimization allocation problem in wireless sensor networks.This paper aims at the problem of barrier coverage in WSNs,the research from rectangular deployment region and circular deploy-ment region,are studied in depth.The model is under the scenario of rectangular area that the random offset will happen due to the scattering sensor,which affect the adjacent deploy barrier line.While the latter under the scenario of annular region,under the random offset of the sensor,the influence on adjacent sensing circle.This paper main work includes the following aspects:(1)Based on the probability of repair the barrier coverage of deployment way.This paper studies the deployment based on rectangular area,in the model of linear deployment of sensors,and analyzes how to under the influence of stochastic error enables the sensor resource to rational distribution optimization.Based on the sensor position deviation existing in the deployment process of barrier coverage,put forward the method of multi line barrier deployment under the influence of the random offset.Due to the sensor deployment way is by plane away in a straight line,lead to some barrier gap is too larger which causes by sensor random offset,so as to make the repair the barrier gap costs too much.Beyond a certain offset,so this article will analyze sensor on the deployment of adjacent line produces a random compensation point,so produces the barrier gap on originally the deployment line.In the deployment process of adjacent deployment line,the probability which can repair the barrier gap on originally the deployment line can be obtained,and upper bound of the estimate the number of need to deploy the sensor.In view of the unknown parameters in the deviation function,this chapter will use the Bayesian estimation method to do statistical inference.(2)Random offset based on strong K-barrier coverage in annular area.First of all,in a closed area deployment situation were analyzed,round deployment in such a way that guaranteed barrier coverage which the number of sensors needed at least,and through the way of building a regular polygon to form a circular sensing barrier.In the process of sensor placement in a large area,scatters sensors will have random offset by plane,makes the gap between adjacent two sensors.This article combined with the sensor several rounds of deployment schedule,the algorithm of repairing the circular sensing barrier is put forward,eventually monitoring annular K-barrier.(3)This paper based on linear deployment of rectangle and based on the circular area of deployment to simulated experiment,and explore the influence of different experimental parameters values with the result of the experiment.Experimental results proved that the proposed deployment strategy can effectively reduce the number of sensors which guarantee the barrier coverage.Above all,this paper to ensure the monitoring quality of the barrier coverage as the goal,respectively from the angles of rectangle and the circular area barrier coverage problem is studied.For under the condition of limited resources,the allocation of reasonable optimization of sensor has a broad theoretical significance and application value.