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Multiobjective Optimal Design of MEMS-Based Reconfigurable and Evolvable Sensor Networks for Space Applications

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6 Author(s)
Erfu Yang ; Edinburgh Univ., Edinburgh ; Haridas, N. ; El-Rayis, A. ; Erdogan, A.T.
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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.

Published in:
Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on

Date of Conference: 5-8 Aug. 2007

Page(s):
27 - 34
Print ISBN:
978-0-7695-2866-3
INSPEC Accession Number:
9902784
Conference Location :
Edinburgh
Digital Object Identifier :
10.1109/AHS.2007.76
Product Type:
Conference Publications

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