- What kind of interface can be developed in order to give the Army an additional capability that complements existing modeling and simulation capabilities?
- How can MANA's capability be enhanced to meet experimentation needs of the Army?
This report documents an interface between an agent-based force-on-force simulation and a network simulation for the U.S. Army's Cyber Center of Excellence, Capabilities Development and Integration Directorate, Cyber Battle Lab. One of the critical functions executed by the Battle Lab is to provide modeling and simulation (M&S) support to validate current and future command, control, communication, and network–related concepts, technologies, and architectures. This interface was designed to give the Army an additional capability — complementing existing M&S capabilities — to study the operational impact of current and future tactical networks. It also provides a quick-turn analysis capability to support experimentation and exercises facilitated by the Experimentation Division.
This report successfully interfaced the two simulation tools, an agent-based force-on-force simulation called the Map Aware Non-Uniform Automata (MANA) and a high-resolution communication simulation called the Joint Network Emulator (JNE).
MANA's abstract, agent-based design minimizes the cost of developing scenarios by lowering fidelity. It enables a wide range of operational outcomes with minimal input from the modeler. When interfaced to JNE, the pair create a powerful exploratory tool. This type of modeling has a broad range of applications, depending on the research questions.
The Army should use this capability to explore operational impact of the network questions but also continue to expand its toolkit for M&S to support analysis by exploring other agent-based and network simulation tools.
Five Different Test Scenarios Explored Simulation Performance Times
- In the performance scenario, the interface did not experience any anomalies and is thus deemed reasonably robust to errors during high-intensity runs.
- The verification scenario indicates that 100 percent of the messages received in JNE were received in MANA, highlighting that not all messages sent from MANA appeared to arrive in JNE for injection into the network.
- The study delivered a capability to the Army that can be used to study the performance of the network under a wide variety of conditions and within a framework that is easier and less labor intensive to setup.
- Use the interface to support an operational impact analysis.
- Explore alternatives to MANA.
- Explore porting MANA (or similar agent-based models) to other types of network models, such as the Navy Research Lab effort Extendable Mobile Ad-Hoc Network Emulator (EMANE) or NS-3.
- Revisit Regulation 5-11 and consider how validation can be achieved for different classes of M&S tools, such as agent-based.
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Conclusions and Recommendations