scholarly journals Evaluating energy efficiency of Internet of Things software architecture based on reusable software components

2017 ◽  
Vol 13 (1) ◽  
pp. 155014771668273 ◽  
Author(s):  
Doohwan Kim ◽  
Jae-Young Choi ◽  
Jang-Eui Hong
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Software Architecture ◽  
Personal Information ◽  
High Energy ◽  
The Internet ◽  
Quality Factors ◽  
Reusable Components ◽  
Energy Evaluation ◽  
Internet Of Things Technology

Nowadays, Internet of Things technology has garnered a great amount of interest because it can make our life much easier, convenient, and even safer. Internet of Things devices can be connected to the Internet or to each other whenever and wherever in order to collect, process, and share information to support various services. In order to provide useful support, important issues related to security, performance, and energy consumption have to be considered. For example, important personal information can be easily exposed to others because Internet of Things can be easily hacked; low performance and high energy consumption can limit the effectiveness of devices. These issues can be considered as quality factors that need to be met in order to develop software applications in the Internet of Things domain. Energy consumption is critical to provide sustained service within mobile and wireless environments. To this end, this article focuses on how to develop Internet of Things software that takes low energy consumption into account. In particular, we propose energy evaluation techniques that are based on a software architecture that is designed to use reusable components. By performing an experiment, we could verify that our proposing method shows maximum 6.83% of error rate against code-based energy simulation. Our technique can help software engineers to judge whether or not software is developed to satisfy the particular requirements related with energy consumption.

scholarly journals Autonomous WiFi Sensor for Heating Systems in the Internet of Things

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
C. A. Trasviña-Moreno ◽  
R. Blasco ◽  
R. Casas ◽  
A. Marco
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Cities ◽  
High Energy ◽  
Environmental Data ◽  
The Internet ◽  
Processing Unit ◽  
Heating Systems ◽  
Thermoelectric Energy Harvesting ◽  
The Internet Of Things

In smart cities and home applications, the use of Wireless Sensor Networks to extract environmental data becomes more common with the passing of time. These sensors are used for a wide array of applications, but mainly to manage energy consumption in domestic buildings. One of the key energy consumers in households is heating systems. To monitor them, sensors are used with wireless communication protocols, like ZigBee, to transmit data to a central processing unit (CPU). WiFi communications, on the contrary, are rarely seen in these implementations due to its high energy consumption, although almost in every home one can find such networks. Yet, with the Internet of Things (IoT), new revisions of the standard have arisen which enable this technology for wireless sensing. To validate this theory and fill a technological necessity, this proposal is presented. In this work, the design and implementation of an autonomous WiFi sensor, paired with thermoelectric energy harvesting, are presented as an IoT solution for monitoring heating devices. For this, a thorough analysis of the proposed architecture is presented. Tests regarding energy consumption and generation, efficiency, and real world scenario trials are done. Finalizing, a comparison between the obtained results and current implementations is shown.

scholarly journals The Construction of a Smart City Energy Efficiency Management System Oriented to the Mobile Data Aggregation of the Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Longxing Chen ◽  
Ping Han
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Power Distribution ◽  
Reference Model ◽  
Current Status ◽  
The Internet ◽  
Management Platform ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Aiming at the current situation of complicated energy-consuming equipment and large energy consumption in the current enterprise, a reference model scheme of an enterprise energy efficiency management platform based on the Internet of Things is analyzed and the dynamically collected energy consumption information is analyzed using the Internet of Things technology and data mining technology. They provide decision-making support for enterprise energy efficiency management decisions and formulation of energy-saving and emission reduction plans. This article analyzes the current status of energy efficiency management in buildings and points out several pain points in energy efficiency management, including installation difficulties, high software development costs, upgrade difficulties, long debugging cycles, and closed systems, and introduces intelligent power distribution monitoring based on the Internet of Things technology to solve these difficulties. In the system, we analyze the actual value brought by energy efficiency management technology through case studies. It can collect scattered information through the Internet of Things, gather it together to form massive data, and obtain the corresponding information through data analysis and processing. The design is reasonable, the practicality is strong, the use effect is good, and it is easy to promote and use.

scholarly journals Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jianhao Gao
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Service Composition ◽  
Evaluation Model ◽  
Green Energy ◽  
The Internet ◽  
Energy Evaluation ◽  
Internet Of Things Environment ◽  
Qos Evaluation ◽  
The Internet Of Things

With the rapid development of Internet of Things (IoT) technology, the energy consumption of service composition in the IoT environment is a key problem to be studied. At present, the problems of service composition in the IoT environment mostly focus on the evaluation research based on quality of service (QoS), ignoring the overall energy consumption in the process of dynamic configuration of service composition. Therefore, we construct the service composition structure for the IoT and propose the QoS evaluation model and energy evaluation model for the service composition in the IoT environment. Considering that the service composition in the Internet of things environment is NP hard, moth algorithm (MFO) is successfully applied to the QoS evaluation model and energy evaluation model. The simulation results reveal that MFO has good optimization effect in the abovementioned models, and the optimization effect of MFO is improved by 8% and 6% compared with the genetic algorithm and particle swarm optimization, so as to realize the green energy strategic management of QoS composition in the environment of IoT.

scholarly journals ANALYSIS OF THE STATE OF THE EUROPEAN PUBLIC INTERNET OF THINGS MARKET AND THE INTRODUCTION OF TECHNOLOGY IN ENTERPRISES

2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
L. Zakharkina ◽  
Y. Okhrimchuk
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
The State ◽  
The Internet ◽  
Information And Communication ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Large Enterprises

The article analyzes the degree of implementation of information and communication technologies, in particular the Internet of Things in Europe at all levels, from individuals and households to large enterprises. An assessment of the regional distribution of internet use across European countries was performed to identify dependence between the pace of development and level of utilization of Internet of Things technology. The purpose of this study is to analyze the level of mastering of information and communication technologies by European citizens and enterprises, in particular the state of development and the level of application of the Internet of Things. In the course of the research, the methods of systematic and comparative analysis, statistical research and logical generalization were used. Based on the processing of European statistical reports, discrepancies were found between the degree of development of Internet of Things technologies, since the northern and western regions have a more developed technological base than the southern or eastern regions. Among private users of IoT technologies, technological solutions for managing the power consumption of a smart home are most popular, and among smart devices for connecting to the network, they most often choose to use the internet on a TV. The analysis of internet userbase indicates the existence of a divide in digital area, and its likely increase in the next few years, due to the gradual introduction of 5G Internet services. Based on the results of the analysis of the IT infrastructure of European enterprises, the most popular tools for applying Internet of things technology were identified. The analysis showed that European enterprises most frequently choose smart meters, smart lamps, and smart thermostats to optimize energy consumption in the premises of the enterprise among other devices and systems that can be monitored or remotely controlled via the Internet. It was found that large enterprises mostly used devices or systems to optimize energy consumption in the premises of the enterprise, and among medium and small enterprises, tools for optimizing logistics were most often used.

CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Home ◽  
Electricity Consumption ◽  
Considerable Improvement ◽  
The Internet ◽  
The Internet Of Things ◽  
At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

Data collection of safety accidents in sports training of athletes with Internet of Things technology

2021 ◽  
pp. 1-7
Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Internet Of Things ◽  
The Internet ◽  
Sports Training ◽  
Accident Data ◽  
And Performance ◽  
Control Technologies ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

The Correlation Between the Development of IoT Robot Technology and the Effect of Economic Development

2021 ◽  
Author(s):  
Haiting Huang
Keyword(s):  
Economic Development ◽  
Internet Of Things ◽  
System Structure ◽  
Ultra Wideband ◽  
The Internet ◽  
Intelligent Robot ◽  
Traditional Technology ◽  
Robot Technology ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In order to explore the application of IoT technology in robots and the promotion of IoT robot technology to the economy, by comparing traditional technology and IoT intelligent robot technology, this article combines it with economic development to analyze the promotion of IoT robot to economic development. Based on the ultra-wideband ranging method, this paper designs an ultra-wideband radio frequency positioning system and applies it to the robot’s positioning process. Moreover, this article combines the application of robots in the current social and economic development to construct the system structure, and conducts functional analysis with manufacturing robots and monitoring robots as the main body. After constructing an intelligent robot based on the Internet of Things technology, by comparing the traditional technology and the intelligent robot technology of the Internet of Things, this article combines it with economic development to analyze the promotion of IoT robot to economic development. From the analysis results of this article, it can be seen that the advancement of IoT robot technology can effectively promote economic development.

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