scholarly journals Monitoring Jarak Jauh Tata Udara Hvac (Heating, Ventilation, And Air Conditional) Ruang Operasi Berbasis Wireless Internet Of Things di Rumah Sakit Islam (RSI) Pku Muhammadiyah Kabupaten Tegal

2020 ◽  
Vol 2 (2) ◽  
pp. 29
Author(s):  
AKHMAD KHANIF FIKRI
Keyword(s):  
Internet Of Things ◽  
Wireless Internet

                                                                                                                                         ABSTRAK Monitoring jarak jauh tata udara merupakan alat yang digunakan memantau suhu, kelembapan dan tekanan udara secara terus-menerus. Alat monitoring digunakan untuk menjaga kondisi udara dalam ruang operasi tetep stabil saat proses operasi berlangsung. Alat ini memonitoring tinggi rendahnya suhu, kelembapan dan tekanan udara. Sensor BME/BMP280 berfungsi untuk mengambil data berupa suhu, kelembapan dan tekanan udara untuk diproses oleh mikrokontroler NodeMCU ESP8266 . Data tersebut kemudian ditampilkan pada aplikasi Blynk  yang terinstal pada smartphone yang berbasis Internet of Things (IoT).             Metode yang digunakan dalam penelitian ini menggunakan penelitian eksperimen. Dalam penelitian ada beberapa tahapan-tahapan yaitu dengan tahap studi literatur, analisi kebutuhan sistem, perancangan sistem, implementasi sistem, pengujian dan analisis dan kesimpulan. Berdasarkan dari hasil pengujian dan pengukuran 35 kali pada ruang operasi Perbandingan sebelum  memakai modul alat Suhu 10.28%, kelembapan relatif 19.04% dan tekanan udara 33.54%. Sedangkan parameter udara ruang yang  sesudah memakai modul alat memiliki Suhu 6%, kelembapan relatif 5.57% dan tekanan udara 33.51% sedangkan tingkat akurasi parameter yang menggunakan modul alat sebesar suhu 94%, kelembapan 94.43% dan tekanan udara 66.49%.   Kata Kunci : Internet of Things, ruang operasi, NodeMCU ESP8266, BME280, Blynk.

scholarly journals Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey

2021 ◽  
Author(s):  
Mohamed Said Frikha ◽  
Sonia Mettali Gammar ◽  
Abdelkader Lahmadi ◽  
Laurent Andrey
Keyword(s):  
Reinforcement Learning ◽  
Internet Of Things ◽  
Wireless Internet

A strategy for opportunistic cognitive channel allocation in wireless Internet of Things

2014 ◽  
Author(s):  
Roni F. Shigueta ◽  
Mauro Fonseca ◽  
Aline Carneiro Viana ◽  
Artur Ziviani ◽  
Anelise Munaretto
Keyword(s):  
Internet Of Things ◽  
Channel Allocation ◽  
Wireless Internet

Spectrum coordination for intelligent wireless Internet of Things networks

2017 ◽  
Author(s):  
Zorica Nikolic ◽  
Milorad Tosic ◽  
Nenad Milosevic ◽  
Valentina Nejkovic ◽  
Filip Jelenkovic
Keyword(s):  
Internet Of Things ◽  
Wireless Internet

scholarly journals ARS: Adaptive Robust Synchronization for Underground Coal Wireless Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4981
Author(s):  
Kuiyuan Zhang ◽  
Mingzhi Pang ◽  
Yuqing Yin ◽  
Shouwan Gao ◽  
Pengpeng Chen
Keyword(s):  
Internet Of Things ◽  
Clock Synchronization ◽  
Sampling Period ◽  
Upper And Lower Bounds ◽  
Communication Overhead ◽  
Wireless Internet ◽  
Robust Synchronization ◽  
Time Stamps ◽  
Communication Links ◽  
Incomplete Measurement

Clock synchronization is still a vital and challenging task for underground coal wireless internet of things (IoT) due to the uncertainty of underground environment and unreliability of communication links. Instead of considering on-demand driven clock synchronization, this paper proposes a novel Adaptive Robust Synchronization (ARS) scheme with packets loss for mine wireless environment. A clock synchronization framework that is based on Kalman filtering is first proposed, which can adaptively adjust the sampling period of each clock and reduce the communication overhead in single-hop networks. The proposed scheme also solves the problem of outliers in data packets with time-stamps. In addition, this paper extends the ARS algorithm to multi-hop networks. Additionally, the upper and lower bounds of error covariance expectation are analyzed in the case of incomplete measurement. Extensive simulations are conducted in order to evaluate the performance. In the simulation environment, the clock accuracy of ARS algorithm is improved by 7.85% when compared with previous studies for single-hop networks. For multi-hop networks, the proposed scheme improves the accuracy by 12.56%. The results show that the proposed algorithm has high scalability, robustness, and accuracy, and can quickly adapt to different clock accuracy requirements.

On the Delay of Finite Buffered Multi-Hop Relay Wireless Internet of Things

2019 ◽  
Author(s):  
Ahmed ElSamadouny ◽  
Mazen Hasna ◽  
Tamer Khattab ◽  
Khalid Abualsaud ◽  
Elias Yaacoub
Keyword(s):  
Internet Of Things ◽  
Wireless Internet

scholarly journals Blockchain-Enabled Wireless Internet of Things: Performance Analysis and Optimal Communication Node Deployment

2019 ◽  
Vol 6 (3) ◽  
pp. 5791-5802 ◽  
Author(s):  
Yao Sun ◽  
Lei Zhang ◽  
Gang Feng ◽  
Bowen Yang ◽  
Bin Cao ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Internet Of Things ◽  
Wireless Internet ◽  
Node Deployment
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