AINL: Network Topology Identification of Multiple Communication Modes via Active Intercepting and Node Locating

Recent advance in the technologies of the tactical communication network has provided great opportunities for the new network-centric combat mode. Efficient modern communication wars are appealing for facilely mastering the key nodes and topological structure of non-cooperative networks at low computational cost. Accurate network topology identification becomes particularly relevant during the process of multiple communication situations. This paper proposes a novel method called active interception and node location (AINL) to achieve topology identification of multiple communication modes via active intercepting and node locating. Specially, active interception aims to use interfering nodes to interfere with the nodes in communication until frequency hopping occurs to obtain the corresponding power information and then calculate the location of communication nodes and their connection relationship. Node location adopts the positioning technology based on Received Signal Strength (RSS) and second-order cone programming relaxation to determine the location of communication nodes. The node location mechanism is automatically invoked to facilitate the accuracy of topology identification when there is a significant error in the estimated position of active interception. Experimental simulation results indicate that AINL can outperform competing passive interception methods as well as location methods significantly with a higher accuracy, lower power consumption and more stable recognition.