Research on Network Topology Model of Tactical Communication System

Yuan, Wei; Wu, Fan

doi:10.1109/itaic49862.2020.9339000

Cited by 5 publications

(2 citation statements)

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“…Since then, many works have pointed out that wireless network topology can well explain the actual military information network structure. For example, Wei and Fu [3] elaborately analyzed the characteristics of the network topology of tactical communication system and built a communication network model based on the graph theory. In the joint exercise between the British and American fleets, the U.S. army focused on analyzing the relevant nodes in the command and control system by studying the military email system, and abstracted the e-mail interaction during the entire exercise as a network topology, which showed that its military e-mail system had scale-free characteristics [4].…”

Section: Introductionmentioning

confidence: 99%

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

Feng,

Cui

2023

IEEE Access

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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.

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Section: Introductionmentioning

confidence: 99%

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

Feng,

Cui

2023

IEEE Access

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“…Communication technology is a crucial factor in modern warfare, and stable communication is essential in tactical situations. However, in a tactical wireless communication environment, it may not be possible to establish one-to-one communication between a source and a destination due to attacks such as jamming [1,2]. In such scenarios, another node can be used to relay information between the source and destination.…”

mentioning

confidence: 99%

Frequency Diversity Using Random Time Delay in Amplify-And-Forward Relay

Heo

Lee

Jeong

2023

IJEER

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In a tactical wireless communication environment, it is common for device-to-device communication to occur without a base station, but this can be problematic when the distance between the source and destination is too far. Relays are often used to improve transmission distance and reliability, but amplification-based relaying can result in lower communication performance compared to other methods. This paper proposes a method for obtaining diversity gain through the application of time delay during relaying. The proposed method is compared to a conventional method that uses phase rotation to obtain diversity gain. Simulation results show that the proposed method has slightly lower or similar performance improvement compared to the conventional relay method.

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