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Proceedings Paper

Sensor agnostics for networked MAV applications
Author(s): Atindra K. Mitra; Miguel Gates; Chris Barber; Thomas Goodwin; Rastko Selmic; Raul Ordonez; Ali Sekman; Mohan Malkani
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Paper Abstract

A number of potential advantages associated with a new concept denoted as Sensor Agnostic Networks are discussed. For this particular paper, the primary focus is on integrated wireless networks that contain one or more MAVs (Micro Unmanned Aerial Vehicle). The development and presentation includes several approaches to analysis and design of Sensor Agnostic Networks based on the assumption of canonically structured architectures that are comprised of lowcost wireless sensor node technologies. A logical development is provided that motivates the potential adaptation of distributed low-cost sensor networks that leverage state-of-the-art wireless technologies and are specifically designed with pre-determined hooks, or facets, in-place that allow for quick and efficient sensor swaps between cost-low RF Sensors, EO Sensors, and Chem/Bio Sensors. All of the sample design synthesis procedures provided within this paper conform to the structural low-cost electronic wireless network architectural constraints adopted for our new approach to generalized sensing applications via the conscious integration of Sensor Agnostic capabilities.

Paper Details

Date Published: 15 April 2010
PDF: 15 pages
Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 77040R (15 April 2010); doi: 10.1117/12.850379
Show Author Affiliations
Atindra K. Mitra, Air Force Research Lab. (United States)
Miguel Gates, Louisiana Tech Univ. (United States)
Chris Barber, Louisiana Tech Univ. (United States)
Thomas Goodwin, Northrop Grumman Electronic Systems (United States)
Rastko Selmic, Louisiana Tech Univ. (United States)
Raul Ordonez, Univ. of Dayton (United States)
Ali Sekman, Tennessee State Univ. (United States)
Mohan Malkani, Tennessee State Univ. (United States)


Published in SPIE Proceedings Vol. 7704:
Evolutionary and Bio-Inspired Computation: Theory and Applications IV
Teresa H. O'Donnell; Misty Blowers; Kevin L. Priddy, Editor(s)

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