With the development of small scale unmanned aerial vehicles, researchers are paying more and more attention to airborne mobile sensor networks (MSNs) which are potentially used in various application areas. However, existing deployment strategies are not suitable to this new style of networks. On one hand, aerial nodes are free of movement in the three-dimensional space. Collision prevention has to be implemented, while flocking together as a whole also needs to be done first. On the other hand, against concrete coverage objectives, a key area should be multiply treated and an average region should be generally served. Therefore, the research first looks for new algorithms and models for specific airborne characteristics. Based on the idea of charged particle swarms, this paper chooses the fitness function as the breakthrough and uses fuzzy measure as the performance evaluation index of candidate solutions. Simulation results witness the effectiveness of charged swarm strategy to traditional particle swarm and virtual forces strategies.