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“Combat Cloud-Fog” Network Architecture for Internet of Battlefield Things and Load Balancing Technology

机译:用于战场物联网和负载平衡技术的“作战云雾”网络架构

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Recently, the armed forces want to bring the Internet of Things technology to improve the effectiveness of military operations in battlefield. So the Internet of Battlefield Things (IoBT) has entered our view. And due to the high processing latency and low reliability of the “combat cloud” network for IoBT in the battlefield environment, in this paper , a novel “combat cloud-fog” network architecture for IoBT is proposed. The novel architecture adds a fog computing layer which consists of edge network equipment close to the users in the “combat-cloud” network to reduce latency and enhance reliability. Meanwhile, since the computing capability of the fog equipment are weak, it is necessary to implement distributed computing in the “combat cloud-fog” architecture. Therefore, the distributed computing load balancing problem of the fog computing layer is researched. Moreover, a distributed generalized diffusion strategy is proposed to decrease latency and enhance the stability and survivability of the “combat cloud-fog” network system. The simulation result indicates that the load balancing strategy based on generalized diffusion algorithm could decrease the task response latency and support the efficient processing of battlefield information effectively, which is suitable for the “combat cloud- fog” network architecture.
机译:最近,军队希望引入物联网技术,以提高战场上军事行动的效率。因此,《战地物联网》(IoBT)进入了我们的视野。由于在战场环境中用于IoBT的“作战云”网络处理延迟长,可靠性低,本文提出了一种用于IoBT的新型“作战云-雾”网络架构。这种新颖的架构增加了一个雾计算层,该雾计算层由靠近“作战云”网络中用户的边缘网络设备组成,以减少延迟并增强可靠性。同时,由于雾设备的计算能力较弱,因此有必要在“作战云雾”架构中实现分布式计算。因此,研究了雾计算层的分布式计算负载均衡问题。此外,提出了一种分布式广义扩散策略,以减少等待时间并增强“作战云雾”网络系统的稳定性和可生存性。仿真结果表明,基于广义扩散算法的负载均衡策略可以减少任务响应时延,有效地支持战场信息的高效处理,适用于“作战云雾”网络架构。

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