Research On Multi-path Targets Coverage Optimization Of Directional Sensor Networks In Obstacle Environment

As a clean,renewable energy,the small hydropower resources has been promoted in the country and at the same time,it has also made important contributions to promoting rural economic and social development.Small hydropower plant area is a high-risk areas,but because of its location,there are intrusion accidents in the surrounding areas occasionally which poses a threats to the safety of the plant.In view of the problem of insufficient supervision in the factory area,this paper improves the quality of target tracking coverage by optimizing the algorithm of directed sensor network coverage.In terms of existing research results,most of the target coverage issues did not take the moving target and the obstacle environment into account,and so it is difficult to meet the actual coverage needs of the small hydropower plant.Therefore,this paper studies the problem of multi-path target coverage in obstacle environment,which is of great significance to ensure the safety of small hydropower.In this paper,we focus on a series of problems such as sensor perception model,non-uniform moving target path prediction and target coverage in obstacle environment,and apply the research results to remote monitoring system of small hydropower plant.The main research work and achievements are as follows:1.After studying the perceptual model of all kinds of directional sensors,we define the perceptual optimization model which is suitable for the work of this paper by combing the non-overlapping perceptual model and the Boolean model.And in this model we can control the direction of the adjustment by introducing the rotational angular velocity.In this paper,we based on the idea of balanced coverage,and have taken the k-coverage effect and the covering time into consideration,and have optimized the quality function of the coverage,which lays the foundation for the research work.2.Aiming at the problem of moving targets k-coverage problem in visual sensor networks,we propose a new targets coverage probability evaluation model for non-uniform motion,which consider all the possible locations of every target at the next moment and the motion behavior of non-uniform motion objects by using probabilistic prediction theory.Based on mathematical model,to gain benefit of distribute algorithm,we design a new k-coverage distribute optimization algorithm.Sensor nodes exchange coverage information and make decisions in communication range,which increases the probability of k-coverage.3.Considering the existence of various obstacle objects around the plant area,we research the problem of target coverage in obstacle environment based on the above work and correct the perception of the obstacle nodes in blind spot.We propose a moving target k-coverage algorithm based on virtual force.Through a series of simulation experiments,the experimental results verify the effectiveness and feasibility of the algorithm in obstacle environment.4.We developed a remote monitoring system for small hydropower plants on intelligent terminal and applied the results to this system,which has a series of functions such as hydropower monitoring,factory management,real-time warning and so on.Based on the existing research on the target coverage algorithm of directed sensor networks,this paper proposes a new algorithm aiming at the problem of non-uniform motion and obstacle coverage by combing the monitoring environment of small hydropower plant area.Further,we use this research results in the remote monitoring system.