Dynamic vision sensor network（DVSNs）is a new research topic

and target point coverage is one of the basic problems.For the directional sensing model of DVSNs

target point coverage need to consider how to adjust the node’s position and direction to maximize the coverage rate with least sensors nodes.An improved genetic algorithm is proposed to search the best position and direction.Through improving the cross process of traditional genetic algorithm

the algorithm’s local search ability is strengthened.The algorithm converges to the optimal solution

and can maximize the coverage rate with least sensors nodes.The network property is improved.