Trust-Based Collaborative Control for Teams in Communication Networks

Abstract

U.S. Army Training and Doctrine Command (TRADOC) Pamphlet 525-66 identifies Force Operating Capabilities required for the Army to fulfill its mission for a networked Warfighter concept. Two such capabilities are Battle Command and Battle-space Awareness for which there are expectations (trust) that networked nodes will perform in a certain manner given certain contexts. As an example, for battlefield or disaster area teams in a distributed network, trust is interpreted as a set of relations among the nodes participating in the network activities. Trust establishment in distributed communication networks such as mobile ad hoc networks (MANETs), sensor networks and ubiquitous computing systems is considered to be more difficult than in traditional hierarchical structures such as the Internet and Wireless LANs centered on base-stations and access points. In this paper, we concentrate on trust establishment in self-organized, distributed and resource constrained networks. We model our trust establishment strategy as a bilinear local voting protocol and discuss its behavior, i.e. how trusts spreads in the distributed network, and analyze its convergence behavior based on algebraic graph theory. Then, we show how to incorporate trust into local networked control laws which yields two coupled systems, a bilinear trust dynamics coupled to a local control law. Different team behaviors will emerge automatically depending on the trust each node has for its neighbors. In this paper we give examples of the flocking and formation behavior of nodes in a distributed network.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2008
Accession Number
ADA504421

Entities

People

  • F. Lewis
  • P. Ballal

Organizations

  • University of Texas at Arlington

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Army Training
  • Communication Networks
  • Convergence
  • Cooperative Control
  • Detectors
  • Doctrine
  • Dynamics
  • Equations
  • Graph Theory
  • Heterogeneous Networks
  • Mesh Networks
  • Mobile Ad Hoc Networks
  • Multiagent Systems
  • Sensor Networks
  • Steady State
  • Training

Fields of Study

  • Computer science

Readers

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

Technology Areas

  • Space