A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks

Erfu Yang, Nick H. Barton, Tughrol Arslan, Ahmel T. Erdogan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

7 Citations (Scopus)

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.

LanguageEnglish
Title of host publicationCEC 2008 (IEEE World Congress on Computational Intelligence)
Subtitle of host publicationIEEE Congress on Evolutionary Computation
PublisherIEEE
Pages2749-2756
Number of pages8
ISBN (Print)978-1-4244-1822-0
DOIs
Publication statusPublished - 14 Nov 2008
Event2008 IEEE Congress on Evolutionary Computation, CEC 2008 - Hong Kong, United Kingdom
Duration: 1 Jun 20086 Jun 2008

Conference

Conference2008 IEEE Congress on Evolutionary Computation, CEC 2008
CountryUnited Kingdom
CityHong Kong
Period1/06/086/06/08

Fingerprint

Wireless Sensor Networks
Wireless sensor networks
Optimization Algorithm
Modulation
Optimization
Energy
Population Genetics
Energy Efficient
Energy Consumption
Numerical Experiment
Optimization Problem
Demonstrate
Energy utilization
Experiments

Keywords

  • modulation
  • optimisation
  • wireless sensor networks
  • home automation
  • radio frequency

Cite this

Yang, E., Barton, N. H., Arslan, T., & Erdogan, A. T. (2008). A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. In CEC 2008 (IEEE World Congress on Computational Intelligence): IEEE Congress on Evolutionary Computation (pp. 2749-2756). IEEE. https://doi.org/10.1109/CEC.2008.4631167
Yang, Erfu ; Barton, Nick H. ; Arslan, Tughrol ; Erdogan, Ahmel T. / A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. CEC 2008 (IEEE World Congress on Computational Intelligence): IEEE Congress on Evolutionary Computation. IEEE, 2008. pp. 2749-2756
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Yang, E, Barton, NH, Arslan, T & Erdogan, AT 2008, A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. in CEC 2008 (IEEE World Congress on Computational Intelligence): IEEE Congress on Evolutionary Computation. IEEE, pp. 2749-2756, 2008 IEEE Congress on Evolutionary Computation, CEC 2008, Hong Kong, United Kingdom, 1/06/08. https://doi.org/10.1109/CEC.2008.4631167

A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. / Yang, Erfu; Barton, Nick H.; Arslan, Tughrol; Erdogan, Ahmel T.

CEC 2008 (IEEE World Congress on Computational Intelligence): IEEE Congress on Evolutionary Computation. IEEE, 2008. p. 2749-2756.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AB - 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.

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Yang E, Barton NH, Arslan T, Erdogan AT. A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. In CEC 2008 (IEEE World Congress on Computational Intelligence): IEEE Congress on Evolutionary Computation. IEEE. 2008. p. 2749-2756 https://doi.org/10.1109/CEC.2008.4631167