Multi-Objective Network Synthesis for Dispersed Computing in Tactical Environments

SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXXI(2022)

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摘要
Tactical operations like search and rescue or surveillance necessitate the rapid synthesis of physically dispersed assets and mobile compute nodes into a network capable of efficient and reliable information gathering, dissemination, and processing. We formalize this network synthesis problem as selecting one among a set of potentially deployable networks which optimally supports the distributed execution of complex applications. We present the NSDC (Network Synthesis for Dispersed Computing) Framework, a general framework for studying this type of problem and use it to provide a solution for one well-motivated variant. We discuss how the framework can be extended to support other objectives, parameters, and constraints as well as more scalable solution approaches.
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关键词
IoT, IoBT, Network Synthesis, Tactical Networks, Dispersed Computing, Optimization
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