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Aim to a weapon platform get objects information in aspect of precision stroke beyond visual range, study on a novel method of antiterrorism sensor network. Raise formative network method based on control in order to settle for demands for antiterrorism sensor network. The network topology is distributed plane peer to peer self-organized structure. In the particular geography district, nodes carry on closed loop control, discover routing and maintain it according to the need that the delivering data packets and the state of their link. The simulation results show that the method has characteristic of none-center, self-organized, rapid dynamic which antiterrorism sensor network has. The novel method can be applied in execrably antiterrorism environment.

Research and application on wireless sensor networks in the future counterterrorism operations, including the target perception network, target guiding network, combat command control and the fire control network. Access to information and knowledge through the wireless sensor networks. Counterterrorism capacity can be upgraded, and precision strike over the horizon can be realized. The networks change the classical counterterrorism operations, reconnaissance and security mode. Qualnet simulation results show that packets loss rate of wireless sensor networks is small, and the peer to peer delay is short. The networks is suitable for counterterrorism operations environment.