Micro unmanned aerial vehicles(UAVs) have been widely used in civilian domains such as aerial photography, plant protection, and power line inspection. However, there is a lack of information interaction and task collaboration between micro UAVs at present. This paper studies the motion pattern planning of micro UAV swarms for search and rescue missions, to achieve the task coordination of micro UAVs, complete the missions for the entire search and rescue area, and transmit the images back to the ground through multiple hops. Image data is usually transmitted using short-range and high-throughput wireless WiFi communication technology, but the limited communication range of WiFi and the movement of micro UAVs can cause network interruption, packets lost and long delay. To solve the problem, communication constraints are carefully considered and a network planning algorithm based on blanket search is proposed to ensure the connectivity of UAV network. We design a non-uniform node deployment method and a corresponding synchronous/asynchronous motion stragegy, which can greatly reduce the delay and obtain better load balance.