• Title/Summary/Keyword: BP Neural networking

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Proposal of Optimized Neural Network-Based Wireless Sensor Node Location Algorithm (최적화된 신경망 기반 무선 센서 노드위치 알고리즘 제안)

  • Guan, Bo;Qu, Hongxiang;Yang, Fengjian;Li, Hongliang;Yang-Kwon, Jeong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1129-1136
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    • 2022
  • This study leads to the shortcoming that the RSSI distance measurement method is easily affected by the external environment and the position error is large, leading to the problem of optimizing the distance values measured by the RSSI distance measurement nodes in this three-dimensional configuration environment. We proposed the CA-PSO-BP algorithm, which is an improved version of the CA-PSO algorithm. The proposed algorithm allows setting unknown nodes in WSN 3D space. In addition, since CA-PSO was applied to the BP neural network, it was possible to shorten the learning time of the BP network and improve the convergence speed of the algorithm through learning. Through the algorithm proposed in this study, it was proved that the precision of the network location can be increased significantly (15%), and significant results were obtained.

Device Discovery using Feed Forward Neural Network in Mobile P2P Environment

  • Kwon, Ki-Hyeon;Byun, Hyung-Gi;Kim, Nam-Yong;Kim, Sang-Choon;Lee, Hyung-Bong
    • Journal of Digital Contents Society
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    • v.8 no.3
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    • pp.393-401
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    • 2007
  • P2P systems have gained a lot of research interests and popularity over the years and have the capability to unleash and distribute awesome amounts of computing power, storage and bandwidths currently languishing - often underutilized - within corporate enterprises and every Internet connected home in the world. Since there is no central control over resources or devices and no before hand information about the resources or devices, device discovery remains a substantial problem in P2P environment. In this paper, we cover some of the current solutions to this problem and then propose our feed forward neural network (FFNN) based solution for device discovery in mobile P2P environment. We implements feed forward neural network (FFNN) trained with back propagation (BP) algorithm for device discovery and show, how large computation task can be distributed among such devices using agent technology. It also shows the possibility to use our architecture in home networking where devices have less storage capacity.

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