Dr. Seshadri X. Mohan Profile

Dr. Seshadri X. Mohan

at Univ of Arkansas at Little Rock

SPIE Involvement:

Author

Publications (2)

Proceedings Article | 31 March 2010 Paper

A systems engineering approach to wireless integration, design, modeling, and analysis of nanosensors, networks, and systems

Seshadri Mohan, Hussain Al-Rizzo, Radu Babiceanu, Taha Elwi, Rabindra Ghimire, Guoliang Huang, Haider Khalil, Daniel Rucker, Chitranjan Singh, Vijay Varadan, Kenji Yoshigoe, Rui Zhu

Proceedings Volume 7646, 76460A (2010) https://doi.org/10.1117/12.849763

KEYWORDS: Antennas, Sensors, Reliability, Telecommunications, Computing systems, Sensor networks, Systems modeling, Brain, Electrodes, Nanowires

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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.

Proceedings Article | 1 April 2009 Paper

Wireless integration, design, modeling, and analysis of nanosensors, networks, and systems: a systems engineering approach

Seshadri Mohan, Hussain Al-Rizzo, Radu Babiceanu, Taha Elwi, Rabindra Ghimire, Guoliang Huang, Daniel Rucker, Ramzi Seker, Fei Song, Vijay Varadan, S. Vimalathithan, Murat Al, Kenji Yoshigoe

Proceedings Volume 7291, 72910G (2009) https://doi.org/10.1117/12.821554

KEYWORDS: Antennas, Sensor networks, Sensors, Systems modeling, Systems engineering, Nanosensors, Computing systems, Network security, Light, Nanowires

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Conference Committee Involvement (2)

Nano-, Bio-, Info-Tech Sensors and Systems

7 March 2011 | San Diego, California, United States

Nano-, Bio-, Info-Tech Sensors and Systems

8 March 2010 | San Diego, California, United States

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