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A DQN Based Mobile Actor Node Control in WSAN: Simulation Results of Different Distributions of Events Considering Three-Dimensional Environment

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Advances in Internet, Data and Web Technologies (EIDWT 2020)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 47))

Abstract

Wireless Sensor Actor Networks (WSANs) consist of wireless network nodes, with the ability to sense events (sensors) and to perform actuations (actors) based on the sensing data collected by all sensors. This paper describes a design 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 technique. The proposed simulation system is implemented in Rust programming language. We evaluate the performance of the proposed system for different distributions of event placement considering three-dimensional environment. For this scenario, the simulation results show that for normal distribution of events actor nodes are connected in the best case.

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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

    Kyohei Toyoshima, Tetsuya Oda & Kengo Katayama

  2. Department of Information Science, Okayama University of Science (OUS), 1-1 Ridaicho, Kita-ku, Okayama, 700–0005, Japan

    Masaharu Hirota

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

    Leonard Barolli

Authors
  1. Kyohei Toyoshima
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  2. Tetsuya Oda
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  3. Masaharu Hirota
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  4. Kengo Katayama
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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, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Innovation Center for Educational Resources, University Library, Kyushu University, Fukuoka, Japan

    Yoshihiro Okada

  3. Department of Electrical Engineering and Information Technology, University of Naples "Frederico II", Naples, Italy

    Flora Amato

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Toyoshima, K., Oda, T., Hirota, M., Katayama, K., Barolli, L. (2020). A DQN Based Mobile Actor Node Control in WSAN: Simulation Results of Different Distributions of Events Considering Three-Dimensional Environment. In: Barolli, L., Okada, Y., Amato, F. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-39746-3_21

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