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Link to original content: https://unpaywall.org/10.1007/978-3-319-93659-8_77
A Deep Q-Network Based Simulation System for Actor Node Mobility Control in WSANs Considering Three-Dimensional Environment: A Comparison Study for Normal and Uniform Distributions | SpringerLink
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A Deep Q-Network Based Simulation System for Actor Node Mobility Control in WSANs Considering Three-Dimensional Environment: A Comparison Study for Normal and Uniform Distributions

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Complex, Intelligent, and Software Intensive Systems (CISIS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 772))

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Abstract

A Wireless Sensor and Actor Network (WSAN) is a group of wireless devices with the ability to sense physical events (sensors) or/and to perform relatively complicated actions (actors), based on the sensed data shared by sensors. This paper presents design and implementation of a simulation system based on Deep Q-Network (DQN) for actor node mobility control in WSANs. DQN is a deep neural network structure used for estimation of Q-value of the Q-learning method. We implemented the proposed simulating system by Rust programming language. We evaluated the performance of proposed system for normal and uniform distributions of events considering three-dimensional environment. For this scenario, the simulation results show that for normal distribution of events and the best episode all actor nodes are connected.

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Author information

Authors and Affiliations

  1. Department of Information and Computer Engineering, Okayama University of Science (OUS), 1-1 Ridaicho, Kita-ku, Okayama, 700-0005, Japan

    Tetsuya Oda, Elis Kulla & Kengo Katayama

  2. Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Makoto Ikeda & Leonard Barolli

Authors
  1. Tetsuya Oda
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  2. Elis Kulla
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  3. Kengo Katayama
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  4. Makoto Ikeda
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  5. Leonard Barolli
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Corresponding author

Correspondence to Tetsuya Oda .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, COMSATS Institute of Information Technology , Islamabad, Pakistan

    Nadeem Javaid

  3. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Makoto Ikeda

  4. Department of Advanced Sciences, Hosei University , Tokyo, Japan

    Makoto Takizawa

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Oda, T., Kulla, E., Katayama, K., Ikeda, M., Barolli, L. (2019). A Deep Q-Network Based Simulation System for Actor Node Mobility Control in WSANs Considering Three-Dimensional Environment: A Comparison Study for Normal and Uniform Distributions. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_77

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