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Wireless nano sensors networks are being increasingly applied in many real-world applications, such
as structural health monitoring, medical applications, smart clothes, battlefield communications, and
intelligent highway systems. A systems approach to such applications require end-to-end infrastructure that
includes sensors and sensor networking, wireless communication, reliable backbone networking,, computing
infrastructure and other supporting systems. In fact, it fairly clear that sensor systems, communications
systems, and computing systems need to interwork together to form a system of systems. The design and
implementation of such complex systems need to take into consideration their intended functionality,
operational requirements, and expected lifetime. Systems engineering provides the design and implementation
framework to successfully bring large complex systems into operation by integrating multiple engineering
disciplines into a structured development process, starting with identification of the need, and defining the
initial concept, to formulating the requirements to detailed design, development and then, implementation.
This paper brings together aspects of research that is being conducted as part of the Arkansas ASSET
initiative, which is a multi-campus project supported by NSF
Section 2 provides a systems engineering life-cycle modeling approach. Section 3 develops modeling and
analysis of nanowires for a biological application. Section 4 provides insights into the design of wireless
interfaces to provide wireless capability to wearable sensors for medical applications. Section 5 discusses the
application of multiple input multiple output (MIMO) to improve reliability in wireless Section 6 proposes a
data-driven adaptive transmission mechanism to improve both data quality and energy efficiency. Section 7
provides insights into the development of protocols for reliable transport of data over a wavelength division
multiplexed optical transport network. Section 8 summarizes our findings.
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