Surveillance Coverage and Vulnerability Awareness Concepts for Tactical Swarms

Abstract

Currently light infantry soldiers do not have access to many of their cyber resources the moment they depart the forward operating base (FOB). Commanders with recent combat experience have reported on the dearth of computing abilities once a mission is underway. To address this, our group seeks to develop a tactical, mobile cloud implemented on a swarm of semi-autonomous robots. In this paper, we propose a pattern recognition approach to network vulnerability assessment applied to a tactical swarm of robots to enhance their strategy for surveillance coverage. Our work enhances network-enabled persistent surveillance within a dynamic, mobile domain via the implementation of sensor awareness concepts.

Document Details

• Document Type: Technical Report
• Publication Date: Jan 01, 2012
• Accession Number: ADA587554

Entities

People

• Anne-laure Jousselme
• Dominic Larkin
• Kevin Huggins
• Nicolas Lechevin
• Patrick Maupin

Organizations

• United States Military Academy

Tags

Communities of Interest

• Autonomy
• Electronic Warfare
• Energy and Power Technologies
• Materials and Manufacturing Processes

DTIC Thesaurus Topics

• Autonomous Systems
• Collision Avoidance
• Computational Complexity
• Computer Science
• Computers
• Detection
• Electrical Engineering
• Engineering
• Equations
• Information Operations
• Operating Systems
• Pattern Recognition
• Recognition
• Simulations
• Situational Awareness
• United States Military Academy
• Vulnerability

Fields of Study

• Computer science

Readers

• Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
• Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
• Systems Analysis and Design

Technology Areas

• AI & ML
• AI & ML - Autonomous Systems
• AI & ML - DoD AI Strategy
• Autonomy
• Autonomy - Autonomous System Control
• Autonomy - UAVs
• Cyber