To improve the coverage blind spots and cover overlapping regions in wireless multimedia sensor networks（WMSNs）

an improved quantum genetic algorithm（QGA）is presented to adjust the node location and the perceived direction of WMSNs.Compared with traditional quantum genetic algorithm

the algorithm randomly selects goals from the optimal genome team to guide algorithm iteration

reserveing the algorithm convergence speed as well as improve its easy-to converge to local optimum search capability

and meanwhile

adaptive rotation angle and new quantum mutation strategy are used to accelerate the convergence speed.Simulation experiment shows that the algorithm has good global convergence ability and speed

and can improve coverage of the network more efficiently.