A Reliability Optimization Algorithm for Wireless Sensor Network

Authors

  • Qiuming Zhang
  • Jing Luo

DOI:

https://doi.org/10.3991/ijoe.v14i06.8704

Keywords:

wireless sensor network, optimization algorithm, extreme learning machine

Abstract


Aiming at the reliability optimization algorithm based on wireless sensor network, a data fusion algorithm based on extreme learning machine for wireless sensor network was proposed according to the temporal spatial correlation in data collection process. After analyzing the principles, design ideas and implementation steps of extreme learning machine algorithm, the performance and results were compared with traditional BP algorithm, LEACH algorithm and RBF algorithm in simulation environment. The simulation results showed that the data fusion optimization algorithm based on the limit learning machine for wireless sensor network was reliable. It improved the efficiency of fusion and the comprehensive reliability of the network. Thus, it can prolong the life cycle and reduce the total energy consumption of the network.

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Published

2018-06-22

How to Cite

Zhang, Q., & Luo, J. (2018). A Reliability Optimization Algorithm for Wireless Sensor Network. International Journal of Online and Biomedical Engineering (iJOE), 14(06), pp. 138–150. https://doi.org/10.3991/ijoe.v14i06.8704

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Section

Papers