Proper metrics are instrumental to help make sound balance of investment decisions and guide system development. In synthetic environment (SE) experimentation, metrics play additional but allied roles in several aspects of experimental design: guiding the choice of fidelity of representation of systems, focusing concept demonstrator development and giving structure to the experimental data collection and analysis. In order to generate C4ISR metrics, which align with the Network Centric Warfare (NCW) paradigm of producing superior effects via superior decision making through knowledge and information superiority, a five-level metrics hierarchy framework called the Knowledge Analysis Framework (KAF) has been proposed. In the framework, the C4ISR System-of Systems (SoS) provides the overall transition from obtaining data on the physical world to application of battlespace effects. Components of the system provide the transitions between the intermediate levels. Measures of different aspects of system components are labelled as system performance parameters. This paper reports our work on deriving Command and Control (C2) metrics based on this framework for a specific SE experiment aimed at developing and assessing C2 system concepts for the future Australian Army. Detailed metrics have been defined against the particular problem statement. The paper describes these metrics and associated data collection methods.
The successful exploitation of the benefits of a digitized network-centric battlespace in a tactical Land Environment will add to the `Knowledge Edge' capability for the Australian Army. It will advance decision-making, accelerate the flow of information, more effectively synergize collection and processing within the intelligence system and speed up the targeting process, hence improving overall combat effectiveness. To make this a reality, a practical and feasible operational architecture is essential. This paper describes the process of developing an operational architecture for the Australian Army Enhanced Combat Force (land force in 2015) based on US DoD's C4ISR architecture framework.
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