Data Integrity Monitoring Method of Digital Sensors for Internet-of-Things Applications

Shi, Ling‐Feng; Xin, Dong-Jin

doi:10.1109/jiot.2020.2967504

Cited by 25 publications

(13 citation statements)

References 31 publications

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“…Wireless Communications and Mobile Computing layer can view various information parameters in real time to realize remote management of financial data [9].…”

Section: Financial Big Data Methods Based Onmentioning

confidence: 99%

Financial Big Data Based on Internet of Things and Wireless Network Communication

Xue¹

2021

Wireless Communications and Mobile Computing

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With the advent of the era of big data, Internet of things technology and wireless communication technology have been in a state of rapid development. Opportunities and challenges in all walks of life are being subverted. Financial management, as the foundation of corporate governance, is important for improving economic efficiency and achieving sustainable business development which plays an important role. In order to realize the management and classification of financial big data, better identify the financial data of different enterprises, strengthen the safe storage of financial information, and provide early warning for the security issues involved, this article is based on the Internet of things and wireless communication networks. In the method part, this article introduces the framework of the Internet of things, Bluetooth, and infrared data transmission in wireless network communication and the principles of financial big data. The algorithm introduces a single-user MIMO system, free space propagation, and spectrum and energy efficiency. The analysis part analyzes the spectrum efficiency of different algorithms, social utility, average number of retransmissions, comprehensive scores of competitiveness in various fields of the Internet of things, and the significance of financial indicators. By comparing the data, it can be seen that the algorithm in this paper is superior to the two algorithms of IAN-CoMP and IA-CoMP. When the number of users is 100, the social utility of the algorithm in this paper is 4.45, while IAN-CoMP is 3.43 and IA-CoMP is 3.67. When the number of users increases to 700, the social utility of the algorithm in this paper is 28.34. The other two algorithms are, respectively, 24.45 and 25.99, and we know that the social utility of the algorithm in this paper is the best. Through comprehensive analysis, it is concluded that the financial big data model based on the Internet of things and wireless network communication in this paper can better realize data management and collection, so as to meet the needs of information developers.

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“…Wireless Communications and Mobile Computing layer can view various information parameters in real time to realize remote management of financial data [9].…”

Section: Financial Big Data Methods Based Onmentioning

confidence: 99%

Financial Big Data Based on Internet of Things and Wireless Network Communication

Xue¹

2021

Wireless Communications and Mobile Computing

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“…As the table shows, the success rate of the proposed method is higher than 90%, which exhibits the robustness of the proposed method in real-world applications. The failure cases are mainly caused by the quality of the sensor data in the real-world application, which may make the localization unreliable and deteriorate the navigation performance [38].…”

Section: Real-world Experimentsmentioning

confidence: 99%

Stable Autonomous Robotic Wheelchair Navigation in the Environment With Slope Way

Wang

Xia

Meng

2020

IEEE Trans. Veh. Technol.

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In this article, we present a path planning approach that is capable of generating a feasible trajectory for stable robotic wheelchair navigation in the environment with slope way. Firstly, the environment is modeled by a lightweight navigation map, with which the proposed sampling-based path planning scheme with a modified extension function can generate a feasible path. Then, the path is further optimized by the proposed utility function involving the human comfort and the path cost. To improve the searching efficiency of an optimal trajectory, we present an adaptive weighting Gaussian Mixture Model (GMM) based sampling strategy. Particularly, the weights of the components in GMM are adjusted adaptively in the planning process. It is also worth noting that the proposed sampling-based planning paradigm can indicate the unsafe regions in the navigation map, which forms a traversable map and further guarantees the safety of the wheelchair robot navigation. Furthermore, the effectiveness and the efficiency of the proposed path planning method are verified in both simulation and real-world experiments.

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“…With the advent of the Internet of things [1], [2] era, the interconnection of all things has become an inevitable trend. It means that more data information needs to be processed and more sensors will be widely deployed and used [3]- [14]. As a result, the demand for data storage becomes increasingly strong.…”

Section: Introductionmentioning

confidence: 99%

Key Technology Practice of High-Speed Access and Research on the Temperature Dependence of Key Time Parameters Based on NAND Flash Memory

et al. 2021

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This paper focuses on the NAND flash memory as a data storage medium in the Internet of things data acquisition system, which plays an important role from beginning to end. The flow process of multi-channel sensor data sampling, holding, conversion, coding, and storage in the data acquisition system is described. The basic working principle and working process of NAND flash memory are introduced. Based on Interleaved Two-plane Program Technology, and the solution of burst massive throughput in high-speed data transmission is proposed. Compared with previously published papers, the temperature dependence of key time parameters of NAND flash memory is studied and analyzed under the condition of temperature change more concretely. The changing trend of three key time parameters of NAND type flash under different temperatures is analyzed by using appropriate test samples. At the same time, the analysis of the causes of reflection from the phenomenon is further expanded and discussed. The combination of theory and practice can provide powerful suggestions for more efficient and accurate application of NAND flash memory.INDEX TERMS NAND flash, interleave two-plane program, burst massive data, temperature dependence.

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Data Integrity Monitoring Method of Digital Sensors for Internet-of-Things Applications

Cited by 25 publications

References 31 publications

Financial Big Data Based on Internet of Things and Wireless Network Communication

Financial Big Data Based on Internet of Things and Wireless Network Communication

Stable Autonomous Robotic Wheelchair Navigation in the Environment With Slope Way

Key Technology Practice of High-Speed Access and Research on the Temperature Dependence of Key Time Parameters Based on NAND Flash Memory

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