Wireless Energy-Efficient System Based on the Directed Diffusion Routing Method for the High Density Seismic Array Survey

Tian, Ruyun; Wang, Longxu; Zhang, Junjie; Yang, Hao-Jan; Zhang, Linhang

doi:10.1088/1755-1315/660/1/012140

Cited by 7 publications

(6 citation statements)

References 3 publications

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“…With the development of electronic technology, PID control algorithm is realized by computer programming. e computer uses the sampling period to discretize the control object and take sample s [21]. e analog PID control algorithm cannot be used directly, so it needs to be discretized to form a digital PID control algorithm, as shown in formulas ( 3) and (4).…”

Section: 41mentioning

confidence: 99%

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Zhang

2021

Security and Communication Networks

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Traditional minor repair machines have low control efficiency and low automation. In order to improve the brake control efficiency of the oilfield minor repair machine, the oilfield minor repair machine brake control system based on wireless sensor network is designed. The front-end controller collects the data of the oilfield repair machine through the wireless sensor and realizes the communication between the sensor nodes and the data interaction with the communication node through the field bus inside the equipment. The server uploads the processed data through the 3G network, and the server receives the data from the front-end controller and saves it in the database. The remote-control center accesses the server through the Internet to view the front-end controller data. The brake control module uses the expert fuzzy PID control method to control the speed, oil pressure, and operating status of the oilfield minor repair machine and sends the data to the front-end control center to complete the oilfield minor repair remote-control machine by sending control instructions. Experimental results show that the system can meet the braking control requirements of oilfield minor repair machines, the output can quickly track input changes, the braking control effect is good, the dynamic deviation of the machine can be reduced, and the braking control efficiency can be improved.

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Section: 41mentioning

confidence: 99%

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Zhang

2021

Security and Communication Networks

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“…When a small base station cannot handle a task by itself, the task is submitted to all the small base stations in the same cluster. The results show that the proposed scheme can reduce the execution delay by 50% and the delay of all the small base stations in the system can be reduced by 25%, compared with the calculation only at the attached small base stations [15]. Literature further studies the cluster size of small base stations and the influence of cluster size on delay and energy consumption, and considers the influence of the generation of new clusters on the processing tasks.…”

Section: A Resource Allocation Algorithm Based On Time Delay and Energy Consumptionmentioning

confidence: 99%

Research on Agricultural Supply Chain Architecture Based on Edge Computing and Efficiency Optimization

Cui

2022

IEEE Access

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This paper first reviews the related concepts of agricultural supply chain and the current research status of agricultural inventory models; proposes the classification standard of supply chain structure from four different aspects: the complexity of the supply chain node enterprises, the reliability of the supply chain and the optimization goal. In addition, this article starts from the characteristics of agriculture itself, according to the actual needs of the agricultural supply chain, considers the feasibility of the solution strategy from different sides and gives related models, which solves the related problems in the agricultural supply chain to a certain extent. At present, there are many researches on resource allocation algorithms at the edge of mobile networks, but the existing resource allocation algorithms still have the problem of high computational complexity and can still solve the above problems in resource utilization optimization. In order to solve these problems, this paper proposes a system architecture of the agricultural industry Internet of Things based on edge computing. The main motivations of this article are to improve the stability and usability of the system, and to enhance agricultural wisdom, so as to provide a reference for the development of precision agriculture. According to this method, Firstly, from the perspective of how to improve the energy efficiency of mobile terminals, methods to improve the energy efficiency of mobile terminals are studied in multi-user systems where mobile terminals compete for MEC servers with limited computing resources. Then, this paper focuses on the waste of computing resources caused by user movement under the scenario of limited server coverage in MEC system, and studies the problem from the perspective of effective management of computing resources. Experimental results show that the proposed algorithm has good performance.

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“…en, the correlation between different features and grade repetition is analyzed to screen features and form different feature sets [27][28][29][30]. Four commonly used machine learning classification algorithms, random forest, decision tree, support vector machine, and logistic regression, are used to construct an academic early warning model, and comprehensive evaluation then selects the early warning model with the best prediction effect.…”

Section: Introductionmentioning

confidence: 99%

Improved Fuzzy Algorithm for College Students’ Academic Early Warning

Chen

2022

Mathematical Problems in Engineering

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The existing fuzzy clustering algorithms are mostly fuzzy comprehensive evaluation algorithms based on specific elements, but the main problem of such fuzzy algorithms is the lack of overall research on the responsible individuals and the lack of hierarchy in the algorithms. It is suitable for data mining of academic early warning systems. Therefore, an improved fuzzy algorithm based on fuzzy performance evaluation based on composite elements is proposed, and it is applied to the performance evaluation system to solve the complex problems in performance evaluation. In the process of building smart campuses in colleges and universities, academic prewarning, as the main part of smart campuses, mainly uses data mining technology to ensure students complete their studies smoothly and at the same time provides certain decision-making support for colleges and universities. Based on the research topic of the relevant departments of a certain school, this paper aims to build an academic early warning system suitable for the school to ensure that students can successfully complete their studies. The main research contents are divided into two parts: “study early warning model research” and “design and implementation of an academic early warning system.” Through analysis and experiments, it is proved that the model evaluation effect based on the algorithm improvement is the best, with recall reaching 85%, precision reaching 78.96%, and AUC reaching 80.25%.

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Wireless Energy-Efficient System Based on the Directed Diffusion Routing Method for the High Density Seismic Array Survey

Cited by 7 publications

References 3 publications

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Research on Agricultural Supply Chain Architecture Based on Edge Computing and Efficiency Optimization

Improved Fuzzy Algorithm for College Students’ Academic Early Warning

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