Selection of Devices Based on Multicriteria for Mobile Data in Internet of Things Environment

Yang, Yancheng; Ali, Farhad; Nazir, Shah

doi:10.1155/2021/2117915

Cited by 6 publications

(3 citation statements)

References 26 publications

(16 reference statements)

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“…The Nginx used by the platform is a reverse proxy server. A smooth weighted polling algorithm is added to the Nginx server to achieve load balancing [16].…”

Section: Methodsmentioning

confidence: 99%

Data Transmission and Processing Analysis of Power Economic Management Terminal Based on the Internet of Things

Tang¹

2022

Journal of Sensors

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In order to explore how the power economy can realize the data transmission and processing of the management terminal, this paper presents a data transmission and processing analysis of the power economy management terminal based on the Internet of Things. This method explores the research on how to realize the data transmission and processing of management terminal in power economy through the key technical problems and solutions of information recommendation based on the Internet of Things. The research shows that the efficiency of data transmission and processing analysis of power economic management terminal based on the Internet of Things is about 65% higher than that of traditional data analysis. Improve the overall quality of employees in power enterprises and inject new vitality into the development of power economy.

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“…The Nginx used by the platform is a reverse proxy server. A smooth weighted polling algorithm is added to the Nginx server to achieve load balancing [16].…”

Section: Methodsmentioning

confidence: 99%

Data Transmission and Processing Analysis of Power Economic Management Terminal Based on the Internet of Things

Tang¹

2022

Journal of Sensors

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“…Yang et al put forward a strategy called PRIMAL, which selectively migrates computing tasks to their best location, considers the benefits and costs of migrating users' tasks to the appropriate mobile edge cloud according to their location, and optimizes the tradeoff between migration benefits and migration costs. However, this document designs a realtime model to calculate each computing task separately, which will bring a lot of overall task processing delay [13]. Li et al introduced mobile edge computing into blockchain, taking edge computing as the network startup factor of mobile blockchain.…”

Section: Related Workmentioning

confidence: 99%

Certificateless Batch Authentication Scheme and Intrusion Detection Model Based on the Mobile Edge Computing Technology NDN-IoT Environment

Sun

2022

Journal of Function Spaces

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With the rapid development of mobile communication technology, the data transmission rate of mobile communication has been significantly improved and emerging Internet of things applications need a lot of computing resources to meet their own computing needs. However, the existing intelligent terminals have limited computing power and cannot meet the low-latency computing requirements with limited energy consumption. Mobile edge computing technology is considered to be one of the technical solutions that can efficiently solve this problem. Through mobile edge computing technology, intelligent terminals can actively divert some computing tasks to the computing servers deployed in edge network nodes and return the computing results to intelligent terminals after the edge computing servers have finished computing, thus greatly reducing the computing delay of users. In this paper, aiming at multiple edge server networks, combined with dual-connection technology, based on the research of a single edge computing server network, it is further extended to two edge computing servers and a joint optimization problem of computing task allocation and security performance requirements of intelligent terminals and edge computing servers is proposed, so as to minimize the global time delay for completing the computing tasks of intelligent terminals. By layering the problem, this paper proposes a corresponding algorithm, which can efficiently obtain the optimal solution of the initial problem. Compared with the linear search algorithm, the algorithm proposed in this paper can significantly reduce the computation time.

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“…The relevant features are then fed into the proposed system to enhance the learning process of machine and to provide accurate results. [32,33], device selection [34], shape optimization, and gene identi cation [35] are some examples of practical optimization challenges. ACO is a feasible approach for improving prediction.…”

Section: Extracted Features and Selectionmentioning

confidence: 99%

Decision support system for effective action recognition of track and field sports using ant colony optimization

He¹,

Ren²,

Cheng³

2023

Soft Comput

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Based on emerging technologies like arti cial intelligence, machine learning, the Internet of Things, and virtual reality, various Decision Support Systems (DSS) are being employed for the revolution in the sports industry. The coach can now make very precise and unbiased decisions related to the players' skills and selection. It is now very convenient to improve the skills and performance of the players through the implementation of various computer-grounded methodologies. Professionals can recognize the unwanted behavior of players in time during sports and hence can ensure a peaceful atmosphere during sports. The recognition of non-standard actions by the players can help in the avoidance of serious injuries or illness. The DSS can predict the nature of the weather and the sports personnel can take decisions regarding the carrying out of games. The players can do their training without any restrictions on space and time. The real-time analysis of already existing videos of games can help the newcomers learn and improve their skills and performance. The trainers can check the physical tness of the sportsmen very e ciently and provide them with useful and valuable recommendations related to their tness level. The proposed study has used the Ant Colony Optimization to recognize and track the optimal features of athletes to enhance individual as well as team performance in sport competitions.

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Selection of Devices Based on Multicriteria for Mobile Data in Internet of Things Environment

Cited by 6 publications

References 26 publications

Data Transmission and Processing Analysis of Power Economic Management Terminal Based on the Internet of Things

Data Transmission and Processing Analysis of Power Economic Management Terminal Based on the Internet of Things

Certificateless Batch Authentication Scheme and Intrusion Detection Model Based on the Mobile Edge Computing Technology NDN-IoT Environment

Decision support system for effective action recognition of track and field sports using ant colony optimization

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