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Online QoS Modelling Untuk Cloud Menggunakan Teknologi WSN dan IoT Untuk Monitoring CO2 Secara Real-Time
Author(s) -
Nurul Fahmi,
Rosmida Rosmida,
Eko Prayitono
Publication year - 2019
Publication title -
j-tit : jurnal teknologi informasi dan terapan/j-tit (jurnal teknologi informasi dan terapan)
Language(s) - English
Resource type - Journals
eISSN - 2580-2291
pISSN - 2354-838X
DOI - 10.25047/jtit.v5i2.85
Subject(s) - computer science , cloud computing , network packet , quality of service , wireless sensor network , reliability (semiconductor) , computer network , environmental monitoring , context (archaeology) , throughput , node (physics) , service (business) , protocol (science) , database , real time computing , embedded system , wireless , operating system , engineering , paleontology , power (physics) , physics , structural engineering , quantum mechanics , environmental engineering , biology , medicine , alternative medicine , economy , pathology , economics
Wireless Sensor Networks (WSNs) is a technology developed to support one of the smart cities whose the aim is to monitor the environmental  conditions  CO2,  especially  regarding  data  collection  to  display  information  on  environmental  conditions continuously. However, the limitations of this application, it should be noted that the network meets the stringent requirements of the service quality, confidence and high reliability. The goal is strongly influenced by several factors such as environmental characteristics,  throughput,  and network topology.  In this paper, we implementation  using real hardware  where Arduino as microcontroller  and for the monitoring environmental  surrounding  we use temperature,  humidity and CO2 sensors. The data from sensor node will be send to server use IEEE 802.15.4 protocol to data collect and it will be saved to database MySQL. By use IoT technology, the data in the local database will be synchronized to the cloud by using internet access, the aim is so that users  can  be  monitor  environment  condition  by  real-time  using  website  or  smartphone.  In  this  context,  we  also  provide information  on  Quality  of  Service  (QoS)  management  to  assist  proficiently  for  monitoring  environmental  conditions  that oversee  network  performance.  The  proposed  solution  proved  to  be  a  very  useful  tool,  to  detect  and  clarify  potentially throughput and packet lost.

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