Operating Time Improvement and Low-Cost Implementation of Wireless Sensor Network

2016 Fiscal Year Final Research Report

• Project/Area Number: 26330108
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Information network
• Research Institution: Kagoshima University
• Principal Investigator: Shigei Noritaka 鹿児島大学, 理工学域工学系, 准教授 (90294363)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 無線センサネットワーク / 移動型センサノード / 稼働時間の改善 / ニューラルネットワーク / 判別回路 / 位置推定法 / 強化学習 / エアコン制御

Outline of Final Research Achievements

Firstly, in order to improve the operating time of WSN (Wireless Sensor Network), this research developed an effective algorithm for determining the arrangement of the base stations (BSs) and an effective data collection scheduling algorithm for WSN model with multiple BSs. Secondly, as low-cost, power-efficient and high-performance implementation of signal processing unit, comparators with multiple input signals based on neural network and their analog circuit implementation were developed. Thirdly, mobile sensor nodes were cheaply implemented by using commercially available cheap devices and the accuracy of its location estimation is investigated. Finally, as applications with active operation, the controller of air conditioners based on user sensations was developed by using reinforcement learning, which is one of the machine learning methods.

Free Research Field

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