Multi-objective evolutionary optimizations of a space-based reconfigurable sensor network under hard constraints

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Yang, Erfu and Erdogan, Ahmet T. and Arslan, Tughrul and Barton, Nick H. (2011) Multi-objective evolutionary optimizations of a space-based reconfigurable sensor network under hard constraints. Applied Soft Computing, 15 (1). pp. 25-36. ISSN 1568-4946 (https://doi.org/10.1007/s00500-009-0406-4)

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Abstract

Wireless sensor networks have emerged as a promising way to develop high security systems. This paper presents the optimizations of a space-based reconfigurable sensor network under hard constraints by employing an efficient multi-objective evolutionary algorithm (MOEA). First, a system model is proposed for cluster-based space wireless sensor networks. Second, the statement of multi-objective optimization problems is mathematically formulated under hard constraints. Third, the MOEA is used to find multi-criteria solutions in the sense of Pareto optimality. Finally, simulation results are provided to illustrate the effectiveness of applying the MOEA to the multi-objective evolutionary optimizations of a space-based reconfigurable sensor network under hard constraints.

ORCID iDs

Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950, Erdogan, Ahmet T., Arslan, Tughrul and Barton, Nick H.;
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