Research On Coverage Optimization Algorithm For Directed Mobile Sensor Network

With the rapid development of the data and information era,it is particularly important to obtain accurate and reliable information.As the main technical means for obtaining information,wireless sensor networks have attracted more and more attention.In the research of wireless sensor networks,the problem of coverage optimization is the fundamental research in the research of sensor networks.The effective coverage of sensor networks is the primary premise for sensor networks to complete monitoring tasks.Compared with the static omnidirectional sensor network,the directional mobile sensor network,the node can rotate in the sensing direction and the node position can move,which makes the research on the directional mobile sensor network more complicated.This paper mainly studies the area coverage optimization problem of directed mobile sensor networks,starting from the direction of node perception model and area coverage optimization algorithm.Firstly,a split virtual negative centroid model is designed after the traditional virtual force model is optimized,a directional sensor network coverage algorithm based on split virtual negative centroid(SVNC)was proposed.The improvement of the virtual negative centroid setting method based on the virtual force model enhances the influence of the attractional force generated by the coverage blind areas on network optimization.The influence of the generated gravity on the improvement of network coverage.Secondly,an area coverage Enhancement Algorithm Based on Synergy of Virtual Force and Particle Swarm Optimization(S-VFPSO)was proposed.According to the characteristics of global optimization and randomness of particle swarm optimization,combined with SVNC and particle swarm optimization algorithm,the sensor's sensing direction is effectively adjusted under the synergistic effect.In order to improve the efficiency of particle swarm optimization,the inertia weighting strategy in the algorithm is further improved,and Gaussian perturbation is added in the local optimization enhancement to avoid the particles falling into local optimum,so that the sensor network quickly reach the optimum distribution for coverage optimizationFinally,the area coverage optimization of directed mobile sensor networks is studied,and the network coverage problem is regarded as the combination optimization of the sensor's position parameters and sense direction parameters to maximize the coverage area.In this paper,a directional mobile sensor network coverage optimization algorithm is proposed,which optimizes network nodes simultaneously from the two directions of node position optimization and direction adjustment,increasing the effective coverage area in the target monitoring area and improving the network coverage.A series of relevant experiments are conducted in the paper to verify the area coverage optimization algorithm proposed in this paper,and the experimental results validate the paper's the effectiveness of the proposed area coverage optimization algorithm.