Network synthesis for tactical environments: scenario, challenges, and opportunities
Network synthesis for tactical environments: scenario, challenges, and opportunities
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DOI：
10.1117/12.2619048
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发表时间：
2022-06
期刊：
影响因子：
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通讯作者：
Tzanis Anevlavis;Jonathan Bunton;Jared R Coleman;Mine Gokce Dogan;Eugenio Grippo;Abel Souza;C. Fragouli
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文献类型：
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作者：
Tzanis Anevlavis;Jonathan Bunton;Jared R Coleman;Mine Gokce Dogan;Eugenio Grippo;Abel Souza;C. Fragouli
我们开发了一个网络合成方案，这是建立在一个具体的周边监视应用程序，但我们相信捕捉到了一些挑战和要求，是常见的其他战术通信和计算网络应用。所提出的方案解决了边界内二进制人口识别的问题：我们的目标是合成一个传感和计算网络，将在给定边界内移动的人分为两类（例如，朋友或敌人）。我们讨论了几个开放的挑战，我们组织在以下集群：传感器的位置，通信网络的配置和优化，计算任务的位置，动态重新合成和对抗性设置下的弹性。我们还简要讨论了试图解决这些挑战的方法。
We develop a network synthesis scenario, which is built around a concrete perimeter surveillance application, yet we believe captures a number of the challenges and requirements that are common to other tactical communication and computational network applications. The proposed scenario addresses the problem of binary population identification within a perimeter: our goal is to synthesize a sensing and computing network that classifies people moving within a given perimeter into one of two categories (e.g., friend or foe). We discuss several open challenges that we organize across the following clusters: sensor placement, communication network provisioning and optimization, computational task placement, dynamic re-synthesis and resilience under adversarial settings. We also briefly discuss approaches that attempt to address such challenges.