Research on Data Communication Between Intelligent Terminals of Medical Internet of Things

2015 ◽  
Author(s):  
Yong Cui ◽  
Gang Shi ◽  
Xiao-Song Liu ◽  
Wei Zhao ◽  
Yong-Qing Li
Keyword(s):  
Internet Of Things ◽  
Data Communication

Analysis of Things Technology to Promote the Dynamic Alliance Virtual Performance Evaluation

2014 ◽  
Vol 989-994 ◽  
pp. 5041-5044
Author(s):  
Hong Xia Zhang ◽  
Qiang Zhang
Keyword(s):  
Performance Evaluation ◽  
Internet Of Things ◽  
Real Time ◽  
Communication Technology ◽  
Data Communication ◽  
The Internet ◽  
Dynamic Alliance ◽  
Time Performance ◽  
Development Goals ◽  
Internet Of Things Technology

With the development of modern information and communication technology and network technology, modern enterprises choose to build virtual dynamic alliance to achieve business development goals. There are many uncertain relationships between the participating companies in the virtual dynamic alliance. These companies join together to accomplish a particular goal, but also has their own unique individual needs. Internet of Things is an important part of a new generation of information technology. Things technology is an extension and expansion of the network based on the Internet. Basis for building virtual dynamic alliance is the Internet. The enterprises participating in a virtual dynamic alliance communicate with each other relying on information communication technology. Internet of Things technology provides real-time performance evaluation data to the participating enterprises. This will ensure real-time performance data communication between the dynamic alliance enterprises relatively loose.

scholarly journals Analisis Performansi PLTS Off-Grid 600 Wp menggunakan Data Akuisisi berbasis Internet of Things

2021 ◽  
Vol 9 (4) ◽  
pp. 761
Author(s):  
ARNISA STEFANIE ◽  
FARRADINA CHORIA SUCI
Keyword(s):  
Internet Of Things ◽  
Output Power ◽  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Data Communication ◽  
Communication Line ◽  
Photovoltaic Power ◽  
Solar Power Plants ◽  
Internet Of Things Technology

ABSTRAKPLTS pada penelitian ini didesain dengan sistem Off-Grid dengan kapasitas 600 Wp yang terhubung dengan MPPT 50 A, DC 150V dan energi output disimpan pada baterai VRLA 100 Ah. Pemanfaatan teknologi Internet of Things dengan komunikasi data menggunakan jalur komunikasi serial dengan modul ESP 8266. Pengujian dilakukan dengan memasang PLTS dengan kemiringan 300 pada koordinat wilayah -06°33’25’’, 107°12’39’’. Analisis data dilakukan untuk membaca performa daya output dan membandingkan dengan data total photovoltaic power output (Wh) yang dirilis Global Solar Atlas. Sampel data diambil pada bulan September 2020, 06.00-18.00 WIB, yang menunjukkan bahwa rentang waktu kerja efektif PLTS adalah 07.00-08.00 WIB dengan daya output ±140 watt, dimana mendekati nilai total photovoltaic power output adalah 143 Wh.Kata kunci: PLTS, Off-Grid, Internet of Things, power output ABSTRACTThis Solar Power Plant is designed with an Off-Grid system with a capacity of 600 Wp connected to MPPT 50 A, DC 150V, and the output energy stored in a VRLA 100 Ah battery. Utilization of Internet of Things technology with data communication by serial communication line using the ESP 8266 module. Testing was carried out by installing Solar Power Plants with a slope of 300 at the coordinates of the area -06 ° 33'25 '', 107 ° 12'39 ''. Data analysis was carried out to read the output power performance and compare it with the Total photovoltaic power output (Wh) data released by Global Solar Atlas. Data samples were taken in September 2020 at 06.00-18.00 WIB, which shows the effective working time gap of PLTS at 07.00-08.00 WIB with an output power of ± 140 watts is close to the total photovoltaic power output value of 143 Wh.Keywords: Solar Power Plants, Off-Grid, Internet of Things, power output

scholarly journals An Enhanced Distributed Data Aggregation Method in the Internet of Things

2019 ◽  
Author(s):  
M.H Homaei ◽  
Ely Salwana ◽  
Shahab Shamshirband
Keyword(s):  
Internet Of Things ◽  
Communication Networks ◽  
Data Aggregation ◽  
Learning Automata ◽  
Data Communication ◽  
Modern Technology ◽  
Network Control ◽  
Network Graph ◽  
Control Overhead ◽  
Novel Concept

As a novel concept in technology and communication world, “Internet of Things (IoT)” has been emerged. In such modern technology, the capability to transmit data through data communication networks (such as Internet or Intranet) is provided for each organism (e.g. human being, animals, things, and so forth). Due to the limited hardware and communication operational capability as well as small dimensions, IoT undergoes quite a few challenges. Such inherent challenges not only cause fundamental restrictions in the efficiency of aggregation, transmission, and communication between nodes; but they also degrade routing performance. To cope with the reduced availability time and unstable communications among nodes, data aggregation and transmission approaches in such networks are designed more intelligently. In this paper, a distributed method is proposed to set child balance among nodes. In this method, the height of the network graph is increased through restricting the degree; and network congestion is reduced as a result. Besides, a dynamic data aggregation approach -named as LA-RPL- is proposed for RPL networks. More specifically, each node is equipped with learning automata in order to perform data aggregation and transmissions. Simulation results demonstrate that the proposed approach outperforms previously suggested based approaches in terms of energy consumption, network control overhead, and packet loss rate.

scholarly journals Smart Internet of Things Based Induction Motor Parameter Monitoring and Control System

2021 ◽  
Vol 9 (6) ◽  
pp. 253-256
Author(s):  
M.Ambika ME ◽  
Madhunisha M.
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Induction Motor ◽  
Data Communication ◽  
Heat Treating ◽  
Research Paper ◽  
Base Station ◽  
Raspberry Pi ◽  
Monitoring And Control ◽  
Remote Station

Automation is the use of various control systems for operating equipment such as machinery, processes in industries such as boilers and heat treating ovens, switching on telephone networks, steering and stabilization of ships, aircraft and other applications with minimal or reduced human intervention. This research paper presents advanced approaches using wireless monitoring system for induction motor based on Internet of Things (IoT) for safe and economic data communication. n the first approach, state of the art fault detection strategy is exhibited for induction motor. This research paper depends on the assessment of measured voltage, current, earth leakage, rotor status and speed. Progressed embedded strategy and utilized to isolate and survey the disappointment seriousness. In this procedure, distinctive sensors are associated with the motor, and the quantities are extracted by utilizing a microcontroller. The Graphical User Interface (GUI) with cloud server IoT is used to transmit the data from base station to remote station. This arrangement allows the client to interface with the framework. The proposed research paper based induction motor control system is validated through the simulation in Raspberry Pi 3 environment.

scholarly journals Design of smart agriculture based on big data and Internet of things

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772091706 ◽  
Author(s):  
Chunling Li ◽  
Ben Niu
Keyword(s):  
Data Mining ◽  
Information Processing ◽  
Internet Of Things ◽  
Real Time ◽  
Data Communication ◽  
Large Data ◽  
Time Data ◽  
Real Time Data ◽  
Smart Agriculture ◽  
Internet Of Things Technology

With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. According to the needs of agricultural owners, this article studies and optimizes the data storage, data processing, and data mining of large data generated in the agricultural production process, and it uses the k-means algorithm based on the maximum distance to study the data mining. The crop growth curve is simulated and compared with improved K-means algorithm and the original k-means algorithm in the experimental analysis. The experimental results show that the improved K-means clustering method has an average reduction of 0.23 s in total time and an average increase of 7.67% in the F metric value. The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.

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