Multi-objective evolutionary optimizations of a space-based reconfigurable sensor network under hard constraints |
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Authors: | Erfu Yang Ahmet T Erdogan Tughrul Arslan Nick H Barton |
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Affiliation: | (1) School of Engineering and Electronics, The University of Edinburgh, King’s Buildings, Edinburgh, EH9 3JL, UK;(2) School of Biological Sciences, The University of Edinburgh, King’s Buildings, Edinburgh, EH9 3JL, UK |
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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. |
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Keywords: | |
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