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

Erfu Yang, Ahmet T. Erdogan, Tughrul Arslan, Nick H. Barton

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)25-36
Number of pages12
JournalApplied Soft Computing
Volume15
Issue number1
DOIs
Publication statusPublished - Jan 2011

Keywords

  • evolutionary algorithms
  • multi-objective optimization
  • security applications
  • sensor networks
  • space-based systems
  • wireless ad hoc communication

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