Sensor Network Information Flow Control Method with Static Coordinator within Internet of Things in Smart House Environment

Jurenoks, Aleksejs; Joki, Dejan

doi:10.1016/j.procs.2017.01.150

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…To verify the comprehensive effectiveness of density control learning method of the wireless sensor mobile node under an IoT environment, an experiment is required as given in [18,19,20,21,22]. In this experiment, the experimental analysis was carried out in Matlab environment.…”

Section: Resultsmentioning

confidence: 99%

A Node Density Control Learning Method for the Internet of Things

Lou

Srivastava

Liu

2019

Sensors

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When examining density control learning methods for wireless sensor nodes, control time is often long and power consumption is usually very high. This paper proposes a node density control learning method for wireless sensor nodes and applies it to an environment based on Internet of Things architectures. Firstly, the characteristics of wireless sensors networks and the structure of mobile nodes are analyzed. Combined with the flexibility of wireless sensor networks and the degree of freedom of real-time processing and configuration of field programmable gate array (FPGA) data, a one-step transition probability matrix is introduced. In addition, the probability of arrival of signals between any pair of mobile nodes is also studied and calculated. Finally, the probability of signal connection between mobile nodes is close to 1, approximating the minimum node density at T. We simulate using a fully connected network identifying a worst-case test environment. Detailed experimental results show that our novel proposed method has shorter completion time and lower power consumption than previous attempts. We achieve high node density control as well at close to 90%.

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Section: Resultsmentioning

confidence: 99%

A Node Density Control Learning Method for the Internet of Things

Lou

Srivastava

Liu

2019

Sensors

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“…This theory proved that each component had an effect on energy efficiency. Jurenoks and Jokić [26] introduced the theory of energy efficiency based on the dimensions of human-computer interaction. Their views were based on three dimensions.…”

Section: Energy Efficiencymentioning

confidence: 99%

“…Smart home is a term used to refer to modern homes that have appliances, lighting, or electronics that can be controlled by a remote control, often through a mobile application [26]. Some home automation systems warn homeowners if they notice any movement in the home, and some can call the fire department in the event of an impending situation.…”

Section: Smart Homesmentioning

confidence: 99%

“…This research study shows that achieving the health of users requires the anomaly of environmental and socio-cultural values in the functional spaces of a home along with the integration of automated technologies. Moreover, it investigates the nature of smart homes and identifies appropriate amounts of technology, which can undermine the quality of living environments [26].…”

Section: Smart Homesmentioning

confidence: 99%

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A Sustainable Pattern of Waste Management and Energy Efficiency in Smart Homes Using the Internet of Things (IoT)

et al. 2023

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Nowadays, environmental protection involves many issues and problems, among which the waste generated by various human activities makes up a significant share, which is becoming newer day by day. Moreover, the production of normal, industrial, special, hospital, and agricultural waste and improper management of these materials has created many health, safety, and environmental problems. Based on this approach, this research study aims to determine the model of waste management and energy efficiency in smart homes using the Internet of Things (IoT). The research method used by this study is estimative-computational. For this purpose, the required data were collected using a computational approach. For this purpose, the required views and data were collected through experts in this field and calculated in MATLAB and STATA software. The data analysis tool was represented by fuzzy calculations and for this purpose MATLAB software was used. The study revealed that energy costs in smart homes using the IoT technology are impressive. The number of home residents in smart homes using the IoT is impressive. Home area in smart homes using the innovative technology of IoT is also impressive.

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“…Nowadays the discovery of energy consumption is ongoing and most of the producers unfortunately do not define it as main priority (Jurenoks and Jokić, 2017). The competitiveness of European technologies could strengthen the European position in the global market for energy effective solutions.…”

Section: Related Workmentioning

confidence: 99%

Practical Validation of Economic Efficiency Modelling Method for Multi-Boiler Heating System

Jurenoks

Jurenoka

Novickis

2017

Journal of Information Systems Engineering & Management

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In up-to-date conditions information technology is frequently associated with the modelling process, using computer technology as well as information networks. Statistical modelling is one of the most widespread methods of research of economic systems. The selection of methods of modelling of the economic systems depends on a great number of conditions of the researched system. Modelling is frequently associated with the factor of uncertainty (or risk), who's description goes outside the confines of the traditional statistical modelling, which, in its turn, complicates the modelling which, in its turn, complicates the modelling process. This article describes the modelling process of assessing the economic efficiency of a multi-boiler adaptive heating system in real-time systems which allows for dynamic change in the operation scenarios of system service installations while enhancing the economic efficiency of the system in consideration.

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Sensor Network Information Flow Control Method with Static Coordinator within Internet of Things in Smart House Environment

Cited by 11 publications

References 15 publications

A Node Density Control Learning Method for the Internet of Things

A Node Density Control Learning Method for the Internet of Things

A Sustainable Pattern of Waste Management and Energy Efficiency in Smart Homes Using the Internet of Things (IoT)

Practical Validation of Economic Efficiency Modelling Method for Multi-Boiler Heating System

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