The Dynamic Routing Protocol Implementation Strategy of the Cooperative Control Awareness Combat Network

Wu, Chunqing; Qin, Kaiyu; Li, Ping; Wu, Guohui

doi:10.3390/app8060948

Cited by 2 publications

(3 citation statements)

References 14 publications

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“…Cares [13] built an Information Age Combat (IACM) model for combat networks that divided combat entities into sensors, decision points, influencers and targets. Wu et al [14] constructed an awareness combat network based on closed-loop control model considering the real-time data transmission with a dynamic routing protocol mechanism. In the literature [15], a combat network model with three types of meta-functional nodes is presented.…”

Section: A Model Establishment Of Combat Networkmentioning

confidence: 99%

“…Recently, Li et al [8] introduced temporal interaction mechanism into combat network and tried to describe the operation process more accurately. Overall, these HCN network models have one thing in common (except [14]). Specifically, the combat network is heterogeneous and contains at least three types of nodes: sensors, deciders and influencers.…”

Section: A Model Establishment Of Combat Networkmentioning

confidence: 99%

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A Genetic Algorithm-Based Methodology for Analyzing the Characteristics of High-Operational-Capability Combat Networks

Chen

Liang

et al. 2022

IEEE Access

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Research on heterogeneous combat networks (HCNs) has attracted considerable interest in the military field since they can provide useful insights into the provision of decision-making assistance. The characteristics of high-operational-capability HCNs are not well studied, thus limiting the ability to construct a better combat network. To fill this gap, an integrated methodology named genetic algorithmbased high capability HCN analysis (GAHCA) is presented to demystify the characteristics of highoperational-capability combat networks. In GAHCA, an improved genetic algorithm is proposed to search more efficiently for high-operational-capability HCNs. Then, the properties of these HCNs are studied by cartographic picture analysis and contribution analysis of nodes and links. The results unveil the critical topological structures of operational capability generation and quantitatively demonstrate the importance of the military criterion of "concentration of superior forces". These results also show that: blindly increasing military resources may not enhance the operational capability of the HCN and, worse yet, may even lead to a decrease in network capability. These are all meaningful findings for assisting in the construction of a better HCN. Finally, the reliability of the improved genetic algorithm is demonstrated by comparison with two state-of-the-art algorithms and one classical algorithm.INDEX TERMS High operational capability, characteristic analysis, heterogeneous combat network, genetic algorithm.

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Section: A Model Establishment Of Combat Networkmentioning

confidence: 99%

Section: A Model Establishment Of Combat Networkmentioning

confidence: 99%

A Genetic Algorithm-Based Methodology for Analyzing the Characteristics of High-Operational-Capability Combat Networks

Chen

Liang

et al. 2022

IEEE Access

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“…The UAV network, which includes the Routing_UAVs, communicates in the 5 GHz bandwidth so as not to affect the network communication environment of the Operating_UAVs using the 2.4 GHz bandwidth Wi-Fi. In addition, the UAV network is based on the commonly used Destination-Sequenced Distance Vector (DSDV) routing protocol [25]. All Operating_UAVs act as TCP senders through Wi-Fi in the 2.4 GHz bandwidth.…”

Section: Empirical Studymentioning

confidence: 99%

Adaptive TCP Transmission Adjustment for UAV Network Infrastructure

Lee

Kim

et al. 2020

Applied Sciences

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A UAV network composed of multiple UAVs allows a wide operating radius and various tasks to be performed. However, a UAV network mostly suffers from high probability of transmission failure due to interference or mobility. Also, nodes connected to the network often experience connection loss and segment loss caused by frequent node mobility and routing update. Since congestion is not the only cause of data loss in UAV networks, the TCP congestion control should not be run if there is a possibility of transient link instability unless a reduction in transmission speed is required. For this reason, we propose an algorithm to improve the transmission performance of UAV network through TCP with Slow-Start threshold (Ssthresh) value adjusted. The adjustment algorithm is called Adaptive Ssthresh Reviser for flying Ad hoc Network (ASRAN) that quickly restores unnecessary decrease of transmission speed in UAV network. IntroductionWith the development of wireless network devices, it has become possible to collect a wide range of information and form flexible topologies through various small network devices. However, due to the wide range of activities or mobility, it is difficult for all equipment to be directly connected to the Internet's backbone. In environments where it is difficult to connect directly to the Internet, many devices can connect to the Internet with a wireless ad hoc network. There are various techniques based on wireless multi-hop environments; for example, Unmanned aerial vehicle (UAV)-based network system [1-3], multiple Internet of Things (IoT) devices [4,5], 5G network with small mesh networks for fast data transmission speed [6], VANET technology for vehicles [7,8], and MANET technology [9,10]. However, various wireless multi-hop networks including UAV network (e.g., flying ad hoc network) often suffers from segment loss [11]. UAVs have an unstable network because they are difficult to load high-performance device due to limited payload size and moves around frequently to carry out various tasks. As a result, UAV networks often suffer from segment losses due to unstable networks. In this situation, since the formation information and the control message necessary for UAV must be received, the transmission control protocol (TCP), which is a reliable communication protocol, is used to recover the segment loss [12]. Based on this observation, this paper suggests an improvement technique of TCP to enhance the performance of the overall UAV network.If the segment loss occurs, TCP considers the network to be congested and decreases the congestion window (CWND) to reduce the transmission speed. The reason for reducing the transmission speed is that segment losses are caused by heavy traffic exceeding link capacity in most of wired environment. However, in wireless multi-hop environments such as UAV networks, segment losses are caused by not only buffer overflow but also transient link instability. For example, if power

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The Dynamic Routing Protocol Implementation Strategy of the Cooperative Control Awareness Combat Network

Abstract: , male, doctoral student in control science and engineering, senior engineer, mainly researching communications, multi-agent cooperative control, and equipment support.

Cited by 2 publications

References 14 publications

A Genetic Algorithm-Based Methodology for Analyzing the Characteristics of High-Operational-Capability Combat Networks

A Genetic Algorithm-Based Methodology for Analyzing the Characteristics of High-Operational-Capability Combat Networks

Adaptive TCP Transmission Adjustment for UAV Network Infrastructure

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