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

Erfu Yang*, Nakul Haridas, A. El-Rayis, A. T. Erdogan, Tughrul Arslan, Nick Barton

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.

Original languageEnglish
Title of host publicationSecond NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)
PublisherIEEE
Pages27-34
Number of pages8
ISBN (Print)076952866X, 9780769528663
DOIs
Publication statusPublished - 2007
Event2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007 - Edinburgh, United Kingdom
Duration: 5 Aug 20078 Aug 2007

Conference

Conference2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007
Country/TerritoryUnited Kingdom
CityEdinburgh
Period5/08/078/08/07

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