In order to research the security and low consumption of wireless sensor network layout in electromagnetic space, calculate the path loss of signal propagation in obstacle environments, and balance the diversity and uniformity of sensor topology position solution sets, this paper designs a WSNs Deployment and multi-objective optimization model, the improved adaptive multi-objective algorithm (IAMEA) according to vector angle and population density is proposed to be applied to the node deployment problem, using the vector angle and population density as the fitness of the population solution, plus the balance factor dynamic balance solution Distribution. Experiments show that this method can effectively optimize the topological location deployment problem of WSNs, which also improves the diversity and uniformity of population solution distribution.