Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient

Chuangbo Hao; Ping Song; Xiongjun Liu; Zhiqiang Pan

doi:10.1109/CCITSA.2015.36

Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient

Chuangbo Hao, Ping Song, Xiongjun Liu, Zhiqiang Pan

School of Mechatronical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Synchronicity is the base of sleep and superframe, used by many protocols in WSN. Distributed synchronicity algorithm become popular in rubust WSN, due to the unstratified topological structure and low computational complexity. The firefly-inspired synchronicity algorithm (FSA), as the typical algorithm of distributed synchronicity, usually needs a large coupling coefficient for accelerating convergence. However, a large coupling coefficient may lead instability and inaccuracy. So, this paper proposes a novel self-adaption coupling coefficient firefly-inspired synchronicity algorithm, aiming at a fast and accurate synchronicity. This algorithm is evaluated by simulation. The results show that it can speed up the time cost by synchronicity process obviously.

Original language	English
Title of host publication	Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	77-81
Number of pages	5
ISBN (Electronic)	9781467386005
DOIs	https://doi.org/10.1109/CCITSA.2015.36
Publication status	Published - 18 May 2016
Event	1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015 - Ilan, Taiwan, Province of China Duration: 10 Dec 2015 → 12 Dec 2015

Publication series

Name	Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015

Conference

Conference	1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015
Country/Territory	Taiwan, Province of China
City	Ilan
Period	10/12/15 → 12/12/15

Keywords

Firefly-inspired algorithm
WSN synchronicity
coupling coefficient
rubust synchronicity

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10.1109/CCITSA.2015.36

Cite this

Hao, C., Song, P., Liu, X., & Pan, Z. (2016). Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient. In Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015 (pp. 77-81). Article 7473091 (Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCITSA.2015.36

Hao, Chuangbo ; Song, Ping ; Liu, Xiongjun et al. / Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient. Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 77-81 (Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015).

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title = "Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient",

abstract = "Synchronicity is the base of sleep and superframe, used by many protocols in WSN. Distributed synchronicity algorithm become popular in rubust WSN, due to the unstratified topological structure and low computational complexity. The firefly-inspired synchronicity algorithm (FSA), as the typical algorithm of distributed synchronicity, usually needs a large coupling coefficient for accelerating convergence. However, a large coupling coefficient may lead instability and inaccuracy. So, this paper proposes a novel self-adaption coupling coefficient firefly-inspired synchronicity algorithm, aiming at a fast and accurate synchronicity. This algorithm is evaluated by simulation. The results show that it can speed up the time cost by synchronicity process obviously.",

keywords = "Firefly-inspired algorithm, WSN synchronicity, coupling coefficient, rubust synchronicity",

author = "Chuangbo Hao and Ping Song and Xiongjun Liu and Zhiqiang Pan",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015 ; Conference date: 10-12-2015 Through 12-12-2015",

year = "2016",

month = may,

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doi = "10.1109/CCITSA.2015.36",

language = "English",

series = "Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015",

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Hao, C, Song, P, Liu, X & Pan, Z 2016, Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient. in Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015., 7473091, Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 77-81, 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015, Ilan, Taiwan, Province of China, 10/12/15. https://doi.org/10.1109/CCITSA.2015.36

Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient. / Hao, Chuangbo; Song, Ping; Liu, Xiongjun et al.
Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 77-81 7473091 (Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient

AU - Hao, Chuangbo

AU - Song, Ping

AU - Liu, Xiongjun

AU - Pan, Zhiqiang

PY - 2016/5/18

Y1 - 2016/5/18

N2 - Synchronicity is the base of sleep and superframe, used by many protocols in WSN. Distributed synchronicity algorithm become popular in rubust WSN, due to the unstratified topological structure and low computational complexity. The firefly-inspired synchronicity algorithm (FSA), as the typical algorithm of distributed synchronicity, usually needs a large coupling coefficient for accelerating convergence. However, a large coupling coefficient may lead instability and inaccuracy. So, this paper proposes a novel self-adaption coupling coefficient firefly-inspired synchronicity algorithm, aiming at a fast and accurate synchronicity. This algorithm is evaluated by simulation. The results show that it can speed up the time cost by synchronicity process obviously.

AB - Synchronicity is the base of sleep and superframe, used by many protocols in WSN. Distributed synchronicity algorithm become popular in rubust WSN, due to the unstratified topological structure and low computational complexity. The firefly-inspired synchronicity algorithm (FSA), as the typical algorithm of distributed synchronicity, usually needs a large coupling coefficient for accelerating convergence. However, a large coupling coefficient may lead instability and inaccuracy. So, this paper proposes a novel self-adaption coupling coefficient firefly-inspired synchronicity algorithm, aiming at a fast and accurate synchronicity. This algorithm is evaluated by simulation. The results show that it can speed up the time cost by synchronicity process obviously.

KW - Firefly-inspired algorithm

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Hao C, Song P, Liu X, Pan Z. Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient. In Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 77-81. 7473091. (Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015). doi: 10.1109/CCITSA.2015.36

Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient

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