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 multiple constraints. Third, the MOEA is used to find multicriteria solutions in the sense of Parelo optimizations. 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 language | English |
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Title of host publication | ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, 2007. BLISS 2007. |
Publisher | IEEE |
Pages | 72-75 |
Number of pages | 4 |
ISBN (Print) | 0-7695-2919-4 |
DOIs | |
Publication status | Published - 1 Dec 2007 |
Event | 2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2007 - Edinburgh, United Kingdom Duration: 9 Aug 2007 → 10 Aug 2007 |
Conference
Conference | 2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2007 |
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Country/Territory | United Kingdom |
City | Edinburgh |
Period | 9/08/07 → 10/08/07 |
Keywords
- evolutionary computation
- high security systems
- multiobjective evolutionary optimization
- wireless sensor networks