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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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ESPACENET : A framework of evolvable and reconfigurable sensor networks for aerospace-based monitoring and diagnostics

Arslan, T. and Haridas, N. and Yang, E. and Erdogan, A. T. and Barton, N. and Walton, A. J. and Thompson, J. S. and Stoica, A. and Vladimirova, T. and McDonald-Maier, K. D. and Howells, W. G J (2006) ESPACENET : A framework of evolvable and reconfigurable sensor networks for aerospace-based monitoring and diagnostics. In: First NASA/ESA Conference on Adaptive Hardware and Systems. IEEE, pp. 323-329. ISBN 0-7695-2614-4

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Abstract

There is an increasing need to develop flexible, reconfigurable, and intelligent multi-spacecraft sensing networks for aerospace-based monitoring and diagnostics. Technical advancements in ad hoc networking, MEMS devices, low-power electronics, adaptive and reconfigurable hardware, micro-spacecraft, and micro-sensors have enabled the design and development of such highly integrated space wireless sensor networks. This paper proposes the framework for an Evolvable Sensor Network Architecture, investigated as part of the ESPA CENET project, collocated at the University of Edinburgh, Essex, Kent and Surrey. The aim is to design a flexible and intelligent embedded network of reconfigurable piconodes optimised by a hierarchical multi-objective algorithm. Although the project is targeted at aerospace applications, the same intelligent network can be used for many earth bound applications such as environmental and medical diagnostics.