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

doi:10.1109/CEC.2008.4631167

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

Design, Manufacturing And Engineering Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

11 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.

Original language	English
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	https://doi.org/10.1109/CEC.2008.4631167
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
Country/Territory	United Kingdom
City	Hong Kong
Period	1/06/08 → 6/06/08

Keywords

modulation
optimisation
wireless sensor networks
home automation
radio frequency

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10.1109/CEC.2008.4631167

Cite this

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

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.",

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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 proceeding › Conference contribution book

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T1 - A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks

AU - Yang, Erfu

AU - Barton, Nick H.

AU - Arslan, Tughrol

AU - Erdogan, Ahmel T.

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N2 - 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.

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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KW - optimisation

KW - wireless sensor networks

KW - home automation

KW - radio frequency

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Y2 - 1 June 2008 through 6 June 2008

ER -

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

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