Abstract
This paper presents a new approach to optimization of an energy-constrained modulation scheme for wireless sensor networks by taking advantage of a novel bio-inspired optimization algorithm. The algorithm is inspired by Wright's shifting balance theory (SBT) of evolution in population genetics. The total energy consumption of an energy-constrained modulation scheme is minimized by using the new SBT-based optimization algorithm. The results obtained by this new algorithm are compared with other popular optimization algorithms. Numerical experiments are performed to demonstrate that the SBT-based algorithm could be used as an efficient optimizer for solving the optimization problems arising from currently emerging energy-efficient wireless sensor networks.
Original language | English |
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Title of host publication | CEC 2008 (IEEE World Congress on Computational Intelligence) |
Subtitle of host publication | IEEE Congress on Evolutionary Computation |
Publisher | IEEE |
Pages | 2749-2756 |
Number of pages | 8 |
ISBN (Print) | 978-1-4244-1822-0 |
DOIs | |
Publication status | Published - 14 Nov 2008 |
Event | 2008 IEEE Congress on Evolutionary Computation, CEC 2008 - Hong Kong, United Kingdom Duration: 1 Jun 2008 → 6 Jun 2008 |
Conference
Conference | 2008 IEEE Congress on Evolutionary Computation, CEC 2008 |
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Country/Territory | United Kingdom |
City | Hong Kong |
Period | 1/06/08 → 6/06/08 |
Keywords
- modulation
- optimisation
- wireless sensor networks
- home automation
- radio frequency