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

Design, Manufacturing And Engineering Management

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

10 Citations (Scopus)

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	Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007
Editors	Tughrul Arslan, Adrian Stoica, Martin Suess, Didier Keymeulen, Tetsuya Higuchi, Ricardo Zebulum, Ahmet T. Erdogan
Place of Publication	Los Alamitos, CA.
Pages	27-34
Number of pages	8
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

Keywords

Pareto optimisation
genetic algorithms
micromechanical devices
wireless sensor networks
adaptive arrays
algorithm design and analysis
biosensors
buildings
hardware
intelligent networks
intelligent sensors
satellites
MEMS
microelectromechanical devices
adaptive systems
antennas

Access to Document

10.1109/AHS.2007.76

Cite this

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 T. Arslan, A. Stoica, M. Suess, D. Keymeulen, T. Higuchi, R. Zebulum, & A. T. Erdogan (Eds.), Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007 (pp. 27-34). Article 4291897. https://doi.org/10.1109/AHS.2007.76

Yang, Erfu ; Haridas, Nakul ; El-Rayis, A. et al. / Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications. Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007. editor / Tughrul Arslan ; Adrian Stoica ; Martin Suess ; Didier Keymeulen ; Tetsuya Higuchi ; Ricardo Zebulum ; Ahmet T. Erdogan. Los Alamitos, CA., 2007. pp. 27-34

@inproceedings{13a0366316884a1fb990b0f1a56101e7,

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.",

keywords = "Pareto optimisation, genetic algorithms, micromechanical devices, wireless sensor networks, adaptive arrays, algorithm design and analysis, biosensors, buildings, hardware, intelligent networks, intelligent sensors, satellites, MEMS, microelectromechanical devices, adaptive systems, antennas",

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 = "9780769528663",

pages = "27--34",

editor = "Tughrul Arslan and Adrian Stoica and Martin Suess and Didier Keymeulen and Tetsuya Higuchi and Ricardo Zebulum and Erdogan, \{Ahmet T.\}",

booktitle = "Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007",

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 T Arslan, A Stoica, M Suess, D Keymeulen, T Higuchi, R Zebulum & AT Erdogan (eds), Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007., 4291897, Los Alamitos, CA., 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.
Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007. ed. / Tughrul Arslan; Adrian Stoica; Martin Suess; Didier Keymeulen; Tetsuya Higuchi; Ricardo Zebulum; Ahmet T. Erdogan. Los Alamitos, CA., 2007. p. 27-34 4291897.

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

TY - GEN

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

AU - Yang, Erfu

AU - Haridas, Nakul

AU - El-Rayis, A.

AU - Erdogan, A. T.

AU - Arslan, Tughrul

AU - Barton, Nick

PY - 2007

Y1 - 2007

N2 - 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.

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.

KW - Pareto optimisation

KW - genetic algorithms

KW - micromechanical devices

KW - wireless sensor networks

KW - adaptive arrays

KW - algorithm design and analysis

KW - biosensors

KW - buildings

KW - hardware

KW - intelligent networks

KW - intelligent sensors

KW - satellites

KW - MEMS

KW - microelectromechanical devices

KW - adaptive systems

KW - antennas

UR - https://www.scopus.com/pages/publications/50949120628

UR - http://www.see.ed.ac.uk/ahs2007/

UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4291882

U2 - 10.1109/AHS.2007.76

DO - 10.1109/AHS.2007.76

M3 - Conference contribution book

AN - SCOPUS:50949120628

SN - 9780769528663

SP - 27

EP - 34

BT - Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007

A2 - Arslan, Tughrul

A2 - Stoica, Adrian

A2 - Suess, Martin

A2 - Keymeulen, Didier

A2 - Higuchi, Tetsuya

A2 - Zebulum, Ricardo

A2 - Erdogan, Ahmet T.

CY - Los Alamitos, CA.

T2 - 2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007

Y2 - 5 August 2007 through 8 August 2007

ER -

Yang E, Haridas N, El-Rayis A, Erdogan AT, Arslan T, Barton N. Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications. In Arslan T, Stoica A, Suess M, Keymeulen D, Higuchi T, Zebulum R, Erdogan AT, editors, Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007. Los Alamitos, CA. 2007. p. 27-34. 4291897 doi: 10.1109/AHS.2007.76

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

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