Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Multi-Objective Evolutionary Optimizations of a Space-Based Reconfigurable Sensor Network under Hard Constraints
 

Summary: Multi-Objective Evolutionary Optimizations of a Space-Based Reconfigurable
Sensor Network under Hard Constraints
Erfu Yang1
, Ahmet T. Erdogan1
, Tughrul Arslan1
, and Nick Barton2
1. School of Engineering and Electronics 2. School of Biological Sciences
The University of Edinburgh
King's Buildings, Edinburgh EH9 3JL, United Kingdom
{E.Yang, Ahmet.Erdogan, T.Arslan, N.Barton}@ed.ac.uk
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 multi-

  

Source: Arslan, Tughrul - School of Engineering and Electronics, University of Edinburgh

 

Collections: Engineering