A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks

Wencheng Zuo; Hui Xie; Yuchi Lin; Hui Hu; Zhengying Cai

doi:doi:10.11648/j.ajnna.20160202.11

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A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks

Wencheng Zuo, Hui Xie, Yuchi Lin, Hui Hu, Zhengying Cai

Published in American Journal of Neural Networks and Applications (Volume 2, Issue 2)

Received: 26 October 2016 Accepted: 9 November 2016 Published: 16 January 2017

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Abstract

In wireless sensor networks, the load imbalance will seriously affect the performance of the whole networks, such as local traffic overload, congestion, idle resources and other problems. In this paper, a novel fuzzy neural network algorithm is proposed to solve the problem. First, the problem of load balancing in context-aware wireless sensor networks is analyzed, and the mathematical model is built up. Second, a load balancing optimization algorithm is brought combing neural network and fuzzy theory, and the whole process is also illustrated including learning, association, recognition and information processing. Third, through analyzing and studying a case, a load balancing problem is solved by simulation and comparison to show the potential of the proposed method. Last, some interesting conclusions and future work are indicated at the end of the paper.

Published in	American Journal of Neural Networks and Applications (Volume 2, Issue 2)
DOI	10.11648/j.ajnna.20160202.11
Page(s)	6-16
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Context-Aware, Optimization Algorithm, Fuzzy Neural Networks, Load Balancing, Wireless Sensor Networks

References

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APA Style

Wencheng Zuo, Hui Xie, Yuchi Lin, Hui Hu, Zhengying Cai. (2017). A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks. American Journal of Neural Networks and Applications, 2(2), 6-16. https://doi.org/10.11648/j.ajnna.20160202.11

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ACS Style

Wencheng Zuo; Hui Xie; Yuchi Lin; Hui Hu; Zhengying Cai. A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks. Am. J. Neural Netw. Appl. 2017, 2(2), 6-16. doi: 10.11648/j.ajnna.20160202.11

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AMA Style

Wencheng Zuo, Hui Xie, Yuchi Lin, Hui Hu, Zhengying Cai. A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks. Am J Neural Netw Appl. 2017;2(2):6-16. doi: 10.11648/j.ajnna.20160202.11

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@article{10.11648/j.ajnna.20160202.11,
  author = {Wencheng Zuo and Hui Xie and Yuchi Lin and Hui Hu and Zhengying Cai},
  title = {A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks},
  journal = {American Journal of Neural Networks and Applications},
  volume = {2},
  number = {2},
  pages = {6-16},
  doi = {10.11648/j.ajnna.20160202.11},
  url = {https://doi.org/10.11648/j.ajnna.20160202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20160202.11},
  abstract = {In wireless sensor networks, the load imbalance will seriously affect the performance of the whole networks, such as local traffic overload, congestion, idle resources and other problems. In this paper, a novel fuzzy neural network algorithm is proposed to solve the problem. First, the problem of load balancing in context-aware wireless sensor networks is analyzed, and the mathematical model is built up. Second, a load balancing optimization algorithm is brought combing neural network and fuzzy theory, and the whole process is also illustrated including learning, association, recognition and information processing. Third, through analyzing and studying a case, a load balancing problem is solved by simulation and comparison to show the potential of the proposed method. Last, some interesting conclusions and future work are indicated at the end of the paper.},
 year = {2017}
}

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TY  - JOUR
T1  - A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks
AU  - Wencheng Zuo
AU  - Hui Xie
AU  - Yuchi Lin
AU  - Hui Hu
AU  - Zhengying Cai
Y1  - 2017/01/16
PY  - 2017
N1  - https://doi.org/10.11648/j.ajnna.20160202.11
DO  - 10.11648/j.ajnna.20160202.11
T2  - American Journal of Neural Networks and Applications
JF  - American Journal of Neural Networks and Applications
JO  - American Journal of Neural Networks and Applications
SP  - 6
EP  - 16
PB  - Science Publishing Group
SN  - 2469-7419
UR  - https://doi.org/10.11648/j.ajnna.20160202.11
AB  - In wireless sensor networks, the load imbalance will seriously affect the performance of the whole networks, such as local traffic overload, congestion, idle resources and other problems. In this paper, a novel fuzzy neural network algorithm is proposed to solve the problem. First, the problem of load balancing in context-aware wireless sensor networks is analyzed, and the mathematical model is built up. Second, a load balancing optimization algorithm is brought combing neural network and fuzzy theory, and the whole process is also illustrated including learning, association, recognition and information processing. Third, through analyzing and studying a case, a load balancing problem is solved by simulation and comparison to show the potential of the proposed method. Last, some interesting conclusions and future work are indicated at the end of the paper.
VL  - 2
IS  - 2
ER  -

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Author Information

Wencheng Zuo

College of Computer and Information Technology, China Three Gorges University, Yichang, China
Hui Xie

School of Law and Public Administration, China Three Gorges University, Yichang, China
Yuchi Lin

College of Computer and Information Technology, China Three Gorges University, Yichang, China
Hui Hu

School of Foreign Languages, China Three Gorges University, Yichang, China
Zhengying Cai

College of Computer and Information Technology, China Three Gorges University, Yichang, China

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Plain Text BibTeX RIS

APA Style

Wencheng Zuo, Hui Xie, Yuchi Lin, Hui Hu, Zhengying Cai. (2017). A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks. American Journal of Neural Networks and Applications, 2(2), 6-16. https://doi.org/10.11648/j.ajnna.20160202.11

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ACS Style

Wencheng Zuo; Hui Xie; Yuchi Lin; Hui Hu; Zhengying Cai. A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks. Am. J. Neural Netw. Appl. 2017, 2(2), 6-16. doi: 10.11648/j.ajnna.20160202.11

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AMA Style

Wencheng Zuo, Hui Xie, Yuchi Lin, Hui Hu, Zhengying Cai. A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks. Am J Neural Netw Appl. 2017;2(2):6-16. doi: 10.11648/j.ajnna.20160202.11

Copy | Download

@article{10.11648/j.ajnna.20160202.11,
  author = {Wencheng Zuo and Hui Xie and Yuchi Lin and Hui Hu and Zhengying Cai},
  title = {A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks},
  journal = {American Journal of Neural Networks and Applications},
  volume = {2},
  number = {2},
  pages = {6-16},
  doi = {10.11648/j.ajnna.20160202.11},
  url = {https://doi.org/10.11648/j.ajnna.20160202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20160202.11},
  abstract = {In wireless sensor networks, the load imbalance will seriously affect the performance of the whole networks, such as local traffic overload, congestion, idle resources and other problems. In this paper, a novel fuzzy neural network algorithm is proposed to solve the problem. First, the problem of load balancing in context-aware wireless sensor networks is analyzed, and the mathematical model is built up. Second, a load balancing optimization algorithm is brought combing neural network and fuzzy theory, and the whole process is also illustrated including learning, association, recognition and information processing. Third, through analyzing and studying a case, a load balancing problem is solved by simulation and comparison to show the potential of the proposed method. Last, some interesting conclusions and future work are indicated at the end of the paper.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks
AU  - Wencheng Zuo
AU  - Hui Xie
AU  - Yuchi Lin
AU  - Hui Hu
AU  - Zhengying Cai
Y1  - 2017/01/16
PY  - 2017
N1  - https://doi.org/10.11648/j.ajnna.20160202.11
DO  - 10.11648/j.ajnna.20160202.11
T2  - American Journal of Neural Networks and Applications
JF  - American Journal of Neural Networks and Applications
JO  - American Journal of Neural Networks and Applications
SP  - 6
EP  - 16
PB  - Science Publishing Group
SN  - 2469-7419
UR  - https://doi.org/10.11648/j.ajnna.20160202.11
AB  - In wireless sensor networks, the load imbalance will seriously affect the performance of the whole networks, such as local traffic overload, congestion, idle resources and other problems. In this paper, a novel fuzzy neural network algorithm is proposed to solve the problem. First, the problem of load balancing in context-aware wireless sensor networks is analyzed, and the mathematical model is built up. Second, a load balancing optimization algorithm is brought combing neural network and fuzzy theory, and the whole process is also illustrated including learning, association, recognition and information processing. Third, through analyzing and studying a case, a load balancing problem is solved by simulation and comparison to show the potential of the proposed method. Last, some interesting conclusions and future work are indicated at the end of the paper.
VL  - 2
IS  - 2
ER  -

Copy | Download