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

doi:10.1109/AHS.2007.76

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 proceeding › Conference contribution

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.

Original language	English
Title of host publication	Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)
Publisher	Institute of Electrical and Electronics Engineers
Pages	27-34
Number of pages	8
ISBN (Print)	076952866X, 9780769528663
DOIs	https://doi.org/10.1109/AHS.2007.76
Publication status	Published - 2007
Event	2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007 - Edinburgh, United Kingdom Duration: 5 Aug 2007 → 8 Aug 2007

Conference

Conference	2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007
Country/Territory	United Kingdom
City	Edinburgh
Period	5/08/07 → 8/08/07

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10.1109/AHS.2007.76

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Yang, E., Haridas, N., El-Rayis, A., Erdogan, A. T., Arslan, T., & Barton, N. (2007). Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications. In Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007) (pp. 27-34). Article 4291897 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/AHS.2007.76

@inproceedings{761f33920a2a4e33a96b5e5805493778,

title = "Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications",

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.",

author = "Erfu Yang and Nakul Haridas and A. El-Rayis and Erdogan, {A. T.} and Tughrul Arslan and Nick Barton",

year = "2007",

doi = "10.1109/AHS.2007.76",

language = "English",

isbn = "076952866X",

pages = "27--34",

booktitle = "Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007 ; Conference date: 05-08-2007 Through 08-08-2007",

}

Yang, E, Haridas, N, El-Rayis, A, Erdogan, AT , Arslan, T & Barton, N 2007, Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications. in Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)., 4291897, Institute of Electrical and Electronics Engineers, pp. 27-34, 2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007, Edinburgh, United Kingdom, 5/08/07. https://doi.org/10.1109/AHS.2007.76

Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications. / Yang, Erfu; Haridas, Nakul; El-Rayis, A. et al.
Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007). Institute of Electrical and Electronics Engineers, 2007. p. 27-34 4291897.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications

AU - Yang, Erfu

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AU - Arslan, Tughrul

AU - Barton, Nick

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AB - 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.

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SP - 27

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BT - Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)

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

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