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http://dx.doi.org/10.6109/jkiice.2018.22.6.849

Development of Wireless Base Station Remote Monitoring System Using IoT Based on Cloud Server  

Lee, Yang-weon (Department of Information & Comm. Eng., Honam University)
Kim, Chul-won (Department of Computer Eng., Honam University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.6, 2018 , pp. 849-854 More about this Journal
Abstract
Radio base stations, which are widely distributed across large areas, have many difficulties in managing them. Unmanned radio base stations in remote mountains are having a hard time accessing them in case of emergencies. Major telephone service providers only remotely control incoming and outgoing information and local small business partners responsible for maintaining actual facilities do not possess such technologies, so they are each checked during field visits. In this study, in order to process the sensor raw data and smoothing, we apply the particle filters and confirmed that the performance of sensor data accuracy is increased. Integrated system using temperature, humidity, fire condition, and power operation at a wide range of radio base stations under the real-time monitoring status is operated well. It show that all of the status of base station are monitored at the remote office using the cloud server through internet networking.
Keywords
IoT; Particle Filter; Cloud; 4th industry revolution;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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