Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications

Yang, Erfu and Haridas, Nakul and El-Rayis, A. and Erdogan, A. T. and Arslan, Tughrul and Barton, Nick; Arslan, Tughrul and Stoica, Adrian and Suess, Martin and Keymeulen, Didier and Higuchi, Tetsuya and Zebulum, Ricardo and Erdogan, Ahmet T., eds. (2007) Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications. In: Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007. IEEE Computer Society Press, GBR, pp. 27-34. ISBN 9780769528663 (https://doi.org/10.1109/AHS.2007.76)

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Abstract

In this paper, the multiobjective optimal design of space-based reconfigurable sensor networks with novel adaptive MEMS antennas is investigated by using multiobjective evolutionary algorithms. The non-dominated sorting genetic algorithm II (NSGA-II) is employed to obtain multi-criteria Pareto-optimal solutions, which allows system designers to easily make a reasonable trade-off choice from the set of non-dominated solutions according to their preferences and system requirements. As a case study, a cluster-based satellite sensing network is simulated under multiple objectives. Most importantly, this paper also presents the application of our newly designed adaptive MEMS antennas together with the NSGA-II to the multiobjective optimal design of space-based reconfigurable sensor networks.

ORCID iDs

Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950, Haridas, Nakul, El-Rayis, A., Erdogan, A. T., Arslan, Tughrul and Barton, Nick; Arslan, Tughrul, Stoica, Adrian, Suess, Martin, Keymeulen, Didier, Higuchi, Tetsuya, Zebulum, Ricardo and Erdogan, Ahmet T.
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