The Novel Modern Internet of Things System Structure Optimization Methodology based on Information Theory and Communication Signal Transmission Model

Yang, Huijun

doi:10.14257/ijfgcn.2016.9.9.11

Cited by 2 publications

(3 citation statements)

References 12 publications

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“…The results of computational experiments are presented in Figures 6 to 9, and they are summarized as well in Table 1. It should be noted that the probability of erroneous reception when using PACS in telecommunication systems is calculated by the following formula [16][17][18][19][20]22]:…”

Section: The Methods For Formation Of Nics Using the Eigenvectors Of Sub-band Matricesmentioning

confidence: 99%

“…The analysis of the existing approaches to the formation of broadband channel signals (PSS) [1][2][3][4][5][6] showed that the following methods are currently used for these purposes. The UWB technology, and in particular its impulse ra-dio (IR) version characterized by the transmission of a few nanoseconds duration pulses [7][8][9][10][11][12], offers an extraordinary resolution and localization precision in harsh environments, due to its ability to resolve multipath and penetrate obstacles [13][14][15][16][17][18][19]. Additional advantages include low power consump-tion, low probability of intercept, robustness to jamming, and coexistence with a large number of systems in the ever increasing spectrum exploitation [20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

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On the evaluation of noise immunity of different classes of wideband signals

Zhilyakov¹,

Белов²,

Belov³

et al. 2020

Bulletin EEI

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The current stage of the development of the society is characterized by a continuous increase in remote interaction between subscribers and user requests for various types of multiservice services, with the required quality regardless of their location. This is mainly implemented on the basis of wireless communication systems (SBS) at the current time. A large number of various SBSs existing at the present leads to an increase in the level of various types of interference, which makes it necessary to increase the noise immunity of these systems. To improve the reliability of receiving information in the conditions of various types of interference, as is known, it is necessary to implement the information exchange by using channel signals with a large base, which primarily depends on the bandwidth they occupy. In this regard, in the present article, a comparative assessment of the noise immunity is carried out based on the obtained quantitative values of frequency characteristics of a number of modern classes of broadband channel signals, including a new class of broadband channel signals, and the use of eigenvectors of sub-band matrices.

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Section: The Methods For Formation Of Nics Using the Eigenvectors Of Sub-band Matricesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the evaluation of noise immunity of different classes of wideband signals

Zhilyakov¹,

Белов²,

Belov³

et al. 2020

Bulletin EEI

View full text Add to dashboard Cite

show abstract

“…IoT environments are composed of three technologies: sensing technology, which measures changes in the environment; interface technology, which performs or links certain features through people, things, and services; and network infrastructure technology, which creates networks between sensors and services [14]- [16].…”

Section: Related Researchmentioning

confidence: 99%

Design of Smart Home Implementation Within IoT Natural Language Interface

Kim

Bae

2020

IEEE Access

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To process continuous sensor data in Internet of Things (IoT) environments, this study optimizes queries using multiple MJoin operators. To achieve efficient storage management, it classifies and reduces data using a support vector machine (SVM) classification algorithm. A global shared query execution technique was used to optimize multiple MJoin queries. By comparing each kernel function of the SVM classification algorithm, the system's performance was evaluated through experiments according to the selected optimal kernel function and changes in sliding window size. Furthermore, to implement a smart home system that can actively respond to users, classified and reduced sensor data were utilized to enable the intelligent control of devices inside the home. The sensor data (e.g., temperature, humidity, gas) used to recognize the current conditions of an IoT-based smart home system and corresponding date data were classified into decision trees, and the system was designed using five sensors to intelligently control priorities such as ventilation, temperature, and fire and intrusion detection. The experiments demonstrated that the multiple MJoin technique yields high improvements in performance with relatively few searches. In this study, the sigmoid was selected as the optimal kernel function for the SVM classification algorithm. According to the SVM classification algorithm results, based on changes in the sliding window size, the average error rate was 2.42%, the reduction result was 17.58%, and the classification accuracy was 85.94%. According to the comparison of the classification performance of SVM and other algorithms, the SVM classification algorithm exhibited a minimum 9% better classification performance. Thus, compared to existing home systems, this algorithm is expected to increase system efficiency and convenience by enabling the configuration of a more intelligent environment according to the user's characteristics or requirements.INDEX TERMS Application, Internet of Things (IoT), sensor data, smart home system, SVM algorithm.

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The Novel Modern Internet of Things System Structure Optimization Methodology based on Information Theory and Communication Signal Transmission Model

Abstract: Abstract

Cited by 2 publications

References 12 publications

On the evaluation of noise immunity of different classes of wideband signals

On the evaluation of noise immunity of different classes of wideband signals

Design of Smart Home Implementation Within IoT Natural Language Interface

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