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

E. Yang, N.H. Barton, T. Arslan, A. Erdogan, in:, IEEE, 2008, pp. 2749–2756.

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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 Wrightpsilas 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.
Publishing Year
Date Published
2008-09-23
Page
2749 - 2756
Conference
WCCI: IEEE World Congress on Computational Intelligence
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Yang E, Barton NH, Arslan T, Erdogan A. A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. In: IEEE; 2008:2749-2756. doi:10.1109/CEC.2008.4631167
Yang, E., Barton, N. H., Arslan, T., & Erdogan, A. (2008). A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks (pp. 2749–2756). Presented at the WCCI: IEEE World Congress on Computational Intelligence, IEEE. https://doi.org/10.1109/CEC.2008.4631167
Yang, Erfu, Nicholas H Barton, Tughrul Arslan, and Ahmet Erdogan. “A Novel Shifting Balance Theory-Based Approach to Optimization of an Energy-Constrained Modulation Scheme for Wireless Sensor Networks,” 2749–56. IEEE, 2008. https://doi.org/10.1109/CEC.2008.4631167.
E. Yang, N. H. Barton, T. Arslan, and A. Erdogan, “A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks,” presented at the WCCI: IEEE World Congress on Computational Intelligence, 2008, pp. 2749–2756.
Yang E, Barton NH, Arslan T, Erdogan A. 2008. A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. WCCI: IEEE World Congress on Computational Intelligence 2749–2756.
Yang, Erfu, et al. A Novel Shifting Balance Theory-Based Approach to Optimization of an Energy-Constrained Modulation Scheme for Wireless Sensor Networks. IEEE, 2008, pp. 2749–56, doi:10.1109/CEC.2008.4631167.

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