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Communal sensor network for adaptive noise reduction in aircraft engine nacelles

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3 Author(s)
Jones, K.H. ; Langley Res. Center, Nat. Aeronaut. & Space Adm., Hampton, VA, USA ; Nark, D.M. ; Jones, M.G.

Emergent behavior, a subject of much research in biology, sociology, and economics, is a foundational element of Complex Systems Science and is apropos in the design of sensor network systems. To demonstrate engineering for emergent behavior, a novel approach in the design of a sensor/actuator network is presented maintaining optimal noise attenuation as an adaptation to changing acoustic conditions. Rather than use the conventional approach where sensors are managed by a central controller, this new paradigm uses a biomimetic model where sensor/actuators cooperate as a community of autonomous organisms, sharing with neighbors to control impedance based on local information. From the combination of all individual actions, an optimal attenuation emerges for the global system.

Published in:

Sensors, 2011 IEEE

Date of Conference:

28-31 Oct. 2011