Network synthesis for tactical environments: scenario, challenges, and opportunities

Tzanis Anevlavis; Jonathan Bunton; Jared Coleman; Mine Gokce Dogan; Eugenio Grippo; Abel Souza; Christina Fragouli; Bhaskar Krishnamachari; Matthew Maness; Karl Olson; Prashant Shenoy; Paulo Tabuada; Gunjan Verma

doi:10.1117/12.2619048

6 June 2022 Network synthesis for tactical environments: scenario, challenges, and opportunities

Tzanis Anevlavis, Jonathan Bunton, Jared Coleman, Mine Gokce Dogan, Eugenio Grippo, Abel Souza, Christina Fragouli, Bhaskar Krishnamachari, Matthew Maness, Karl Olson, Prashant Shenoy, Paulo Tabuada, Gunjan Verma

Author Affiliations +

Proceedings Volume 12113, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV; 121130N (2022) https://doi.org/10.1117/12.2619048
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

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.

Conference Presentation

Citation Download Citation

Tzanis Anevlavis, Jonathan Bunton, Jared Coleman, Mine Gokce Dogan, Eugenio Grippo, Abel Souza, Christina Fragouli, Bhaskar Krishnamachari, Matthew Maness, Karl Olson, Prashant Shenoy, Paulo Tabuada, and Gunjan Verma "Network synthesis for tactical environments: scenario, challenges, and opportunities", Proc. SPIE 12113, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, 121130N (6 June 2022); https://doi.org/10.1117/12.2619048

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available