Achieving effective Homeland Security requires the instantiation of automatic, intelligent and vigilant systems of systems, which integrate a diverse array of sensor, signal, and information processing technologies. While the cost and performance envelopes of in-situ and remote sensing systems continuously improve, synergistically combining these sensory inputs to provide actionable, utilitarian information presents significant but tractable architecting challenges. This paper explores Homeland Security 's critical enabling sensing technologies. It also examines and analyzes in greater depth critical communication and information infrastructure challenges. Only when new communications frameworks, which aggregate relevant data, generate and disseminate mission-critical information products, will we achieve the kind of tailored situational awareness Homeland Security requires.
This paper will review and examine the definitions of Self-Reflection and Active Middleware. Then it will illustrate a conceptual framework for understanding and enumerating the costs of Self-Reflection and Active Middleware at increasing levels of Application. Then it will review some application of Self-Reflection and Active Middleware to simulations. Finally it will consider the application and additional kinds of costs applying Self-Reflection and Active Middleware to sharing information among the organizations expected to participate in Homeland Defense.