SCANS Framework: Simulation of CUAS Networks and Sensors is a Purdue University thesis by Austin Riegsecker.

This research presents the Simulation of CUAS Networks and Sensors (SCANS) Framework, which represents an innovative endeavor to create a versatile modeling framework for Counter-Unmanned Aerial Systems (CUAS) based on device parameters.

At its core, this framework relies on the interaction of sensor and communication device agents. These sensors include Acoustic, Radar, Passive Radio Frequency (RF), and Camera. They utilize input parameters, sensor specifications, and unmanned aerial system (UAS) specifications to calculate critical values such as sound pressure level, received signal strength, and the maximum observable distance. The communication devices within the framework utilize a nearest-neighbor routing protocol to transmit messages within the system, which a command and control agent logs.

Publication Date– December 2020

SCANS Framework: Simulation of CUAS Networks and Sensors contains the following major sections:

  • Introduction
  • Review of Relevant Literature
  • Framework Description and Methodology
  • Anylogic Implementation
  • Using the SCANS Framework
  • Summary

This paper is available via Creative Commons by 4.0 Deed. There were no changes made to this work by the author. For additional information, please visit CC by 4.0 Deed.

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Author- Austin Riegsecker

See Also-

Exploring Detection of UAS on 5G Networks Via Machine Learning

Detection and Classification of Multirotor Drones

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