Networks and Communications

Research concentrates on understanding and exploiting information’s interactions with socio-technical networks, particularly communications, and command and control networks, both formal and social. Of particular importance is Network Science – the study of structure, dynamics, behaviors and evolutions of networks, especially in the context of interactions between communications, information and social networks.

Quality of Information (QoI) for Semantically-Adaptive Networks (ALC)

Develop a foundational science to model, characterize, and control information delivered through multi-genre networks based on the semantics, and context of information requests. With growing volume of information available in tactical and strategic networks, network operators and commanders will require enhanced capabilities to filter and process information. This includes development of 1) semantically aware querying and intelligent translation of natural language queries to machine actionable commands, 2) protocols to provide efficient, quality-aware semantic information delivery to analysts and decision makers, 3) network design approaches to maximize QoI metrics dynamically, either centralized or decentralized, and 4) designing QoI and semantic-aware resource allocation and management algorithms that achieve the trade-offs between resource usage and quality delivered.

Principal Investigators:

Kevin Chan,, (301) 394-5640

Supporting Facility:
Network Science Research Laboratory (ALC)
Facility that provides a controlled, repeatable emulation environment for the research, development, and evaluation of network science and information assurance algorithms for tactical wireless mobile ad hoc networks.

Geometric & Topological Structures in Composite Networks (ALC)

Adapt advanced mathematical theory from geometry and topology to network science via an empirical study of real network data. Since many networks of interest do not reside in an existing (known) geometric space and instead form their own intrinsic geometric and topological space, many geometric and topological concepts have relevance to structural characterizations of networks (e.g., power-law relationships and robustness) and processes on networks (e.g., link prediction, community detection, and epidemic spreading).

Principal Investigators:

Ananthram Swami,, (301) 394-2486
Terrence Moore,, (301) 394-1236

Tactical Optical Communications (ALC)

Study of unconventional free-space optical communication systems (employing, e.g., ultraviolet or visible light-emitting diodes), including communication channel model development, the analysis of system design tradeoffs, experimental validation, and prototype system development.

Principal Investigator:

Robert Drost,, (301) 394-0158

Cognitive Hybrid Networking (ALC)

Develop new communications networking capabilities for harsh tactical environments that integrate cognitive radio, autonomous agents, and highly novel methods for human-network-machine interaction.

Principal Investigators:

Robert Drost,, (301) 394-0158
Fikadu Dagefu,, (301) 394-0405

Networking in Resource Constrained Environments (ALC)

Investigate adaptive algorithms and radio hardware that provide robust and efficient communications under varied conditions using cognitive and dynamic spectrum access techniques for both sensor and soldier radios.

Principal Investigator:

Ron Tobin,, (301) 394-2184