Abstract: Target detection is an important application of wireless sensor networks.In the process of target detection,users pay more attention to the path coverage of the target on the basis of obtaining rich image information of the target.Aiming at the problem that a single target can be covered by the K-level and the sensor distribution density is minimized in the whole motion path,firstly,the theoretical minimum distribution density of the sensor was proposed by combining the directed distribution model and the single-target position mathematical prediction model.Secondly,the sub-regional dynamic optimization algorithm for path coverage of single target was designed.According to the distance between the sensor and the target,the sensors in the entire monitoring area is divided into external sensors,middle sensors and internal sensors by the algorithm to implement different rotation decisions for each type of sensor.The results of simulation show that compared with the existing algorithms,the proposed algorithm can effectively reduce the distribution cost of sensors in the monitoring area.

Key words: Distribution density, Path coverage, Rotation decision, Wireless sensor network