Research On The Real Time Data Dissemination Control Technique Of Cooperative Engagement Capability (CEC)

Cooperative engagement is the necessary direction of the future warfare, to realize the cooperative engagement, a distributed system that can share battlefield situation information must be needed. Cooperative Engagement Capability(CEC) is a new revolutionary approach to air defense in littoral theatre. It takes full advantages of computer, telecommunication network and a new kind of high-powered processor to achieve the function of composite tracking and identification, precision cueing and coordinated cooperative engagement. Having been developed about 20 years, CEC is much mature. However there are several flaws, such as the high requirement for bandwidth, the blindness of sharing information, the difficulty of extensibility, the limitation of openness. In order to construct our own CEC network, and improve the cooperative engagement capability, it is necessary to study the key technique of CEC and fetch up the flaws of it, so as to make a great progress in our CEC.In allusion to these flaws, this paper establishes a real time data dissemination control model, managing to solve the above-mentioned problems through the following approaches:A DCPS-based(Data Centric Publish Subscribe) data dissemination model is designed to solve the limitation of openness. Firstly, according to the requirement of CEC's function and performance, the module frames of the node and the network are designed; above these frames, the DCPS-based data dissemination model is established, which is propitious to adapt to the dynamic environment, increase the openness and also enlarge the scale of the network.The self-adaptive QoS(Quality of Service) control strategy during transmitting procedure is designed for the difficulty of extensibility. The above mentioned model is realized in the TAO DDS(The ACE ORB Data Distribution Service), the rock-bottom QoS strategy of which is used to ensure the real time performance and reliability. According to the RTT(Round-Trip Time) and latency jitter, the performance of the QoS strategy is tested, and the result is perfect. but the QoS strategy is static, which can not be changed during the transmitting procedure, so that the conflict of resource contention comes out with the increasing of node number. Because of this, the self-adaptive QoS control strategy on the application layer is introduced, which is realized through the network state feedback and forecast, and the QoS values are adjusted by self-adaptive function automatically to meet the real time requirement of each P/S(Publish/Subscribe) member and balance the resource appropriation of them at the same time, so as to satisfy all of the P/S members By the greatest extent. At last, the performance of the self-adaptive QoS control strategy is validated in the wireless IP network.The data filtering mechanism is designed to solve the problem of the high requirement for bandwidth and the blindness of sharing information. On one hand, the method of data classification based on entropy is introduced, which can classify the data to three kinds: the redundancy, the complementary and the collision, and the collision data will be thrown away; on the other hand, the confidence coefficient is set to the sensors at each node, which is used to divide the left data to several grades. the higher the grade, the higher the priority of data dissemination; and those data, the grade of which is lower than the set threshold, will be thrown away, so that the data in the network reduce once more. At last, the performance of the data filtering mechanism is validated by simulation test.