Kill web is an important combat means to achieve accurate, efficient, agile and reliable damage to enemy targets through networking and coordination of weapons. Aiming at the current situation that the research of kill web is limited to top-level design, a set of methods for the modeling and deployment of kill web is proposed. Under the premise that the nodes of the command & control (C2) layer undertake the decision and planning of the other layers, the reconnaissance area coverage problem is decomposed into the sensor deployment problem (SDP) and the travelling salesman problem (TSP). After using genetic algorithm to optimize them, the deployment of reconnaissance nodes is completed. Then the minimum spanning tree (MST) of the communication network is generated by the improved Prim method to avoid the waste of resources and redundant paths. Finally, A-star algorithm is used to plan the path to the target discovered by the reconnaissance node. The feasibility of this deployment method is verified by simulation.