Research On Supernetwork Based Modeling And Analysis For Military Communication Network Reconfiguration

No force without network, no war without network. As a information carrier in the informational and networked warfare environment, military communication network(MCN)plays a decisive role. Based on complex network theory, the overall characteristics of complex network are from complex interactions among its components, that is network structure. For MCN, its overall characteristics are its functions. For its special functional requirements, modeling, analysis and design of MCN topology structure, has long been a research focus in the military field.MCN is a man-made functional network developed for the demands of modern battlefield. Compared with citizen communication networks, MCN has heterogeneous nodes,multi-links and time-varying topology. All these characteristics that make traditional graph theory based network structure models are difficult to describe such characteristics of MCN accurately, and the traditional network analysis methods are difficult to demonstrate its features of military applications. Furthermore, MCN design problem has been future research. Based on supernetwork theory, we proposed to consider the function of the network node in the operational system in the process of modeling, analysis and design of MCN. Considering the actual background of MCNs, and aiming as the defects of existing research results, studies made in the dissertation are as follows:(1)In order to analyze, design, and build MCNs for a netcentric environment, we propose a novel structure model based on supernetwork by reference and integrate Cares’ combat network model and Keus’ Netforce Reference Model. The model’s mathematical structure is given in detail. The proposed model is able to represent two key characteristics of MCNs, i.e. node’s functional types and link’s transmission types. The complex network parameters and their practical significance of MCNs are analyzed. The definition of supernetwork parameters and their practical significance of MCNs are given. Based on the proposed model, the military communication supernetwork can be decomposed into several functional or special sub-networks which are more meaningful in the military background. As an example, a joint operational forces communication supernetwork structure is given to validate the proposed supernetwork model.(2)The information interaction diversity of MCNs is researched, which is called network information interaction complexity. According to the structural and functional characteristics of MCNs, through constructing the military communication supernetwork(MCSN) description model, the concept of adjacent matrix of supernetwork, correlation matrix of classified nodes, type assortativity coefficient, and the definitions of supernetwork motif, core and the entropy of the motif were introduced. Then regarding motifs as basic construct modules of MCSN, the supernetwork motif entropy(SNME) was proposed as a complexity measure of MCN information interaction. Finally, by taking the complexity measuring steps of a joint operational forces communication supernetwork structure which was discussed in detail as an example, the computing results of SNME were compared with the present complexity measures, and it is demonstrated that SNME can measure the functional complexity of network when its structural complexity is determined.(3)A new idea of evaluation and analysis MCN survivability is proposed. On the one hand, To depict and analyse the role of military communication network(MCN)in implementation of the information system enhanced System of Systems(So S) operation capabilities, a topology model of MCN considering nodes functions was built, where the information transmission path among a collector,a processor,a user and an effector in combat networks could be regarded as a T-CPUE information functional chain. Based on the definition of MCN topology survivability as connectivity degree among these four types of terminal user, five MCN topology survivability measures,including node connectivity,link connectivity,node significance,link significance and T-CPUE chain connectivity,was defined. Finally,with an example communication network in So S operations,the rationality and validity of the proposed method was demonstrated by comparing variability of five topology survivability measures along with increasing of the deleted nodes number in accordance to two different node deleting strategies, i.e. deleting maximum degree node gradually and deleting the most vital node gradually. On the other hand,considering the traffic matrics without traffic association, put forward to denote traffic association model as QFD style. The analysis process of MCN survivability based on traffic association and simulation is given, and compared it with the methods of network traffic survivability without considering traffic association, show that the importance of traffic association when analyzing network traffic survivability.(4)The definition and the mathematical model of MCN topology reconfiguration problem is given. A new weight determine method is proposed, which is called Cloud Analysis Network Process(CANP). MCN reconfiguration strategy considering the importance of nodes and links is proposed. A reconstruction algorithm of MCNs is designed based on cross entropy.(5)The process of proposed model and method is given and the validity is proven with a case study of a joint operational forces communication network.