TDOA-Based Joint Synchronization and Localization Algorithm for Asynchronous Wireless Sensor Networks

Wang, Tan; Huagang, Xiong; Ding, Hong; Liu, Zheng

doi:10.1109/tcomm.2020.2973961

Cited by 81 publications

(31 citation statements)

References 51 publications

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“…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%

“…It needs a wide range of knowledge, and the on-site technicians do not necessarily have the required professional knowledge. However, the professionals with the technology are generally concentrated in Colleges and research institutes, and the unreasonable distribution of human resources also hindered the promotion and application of monitoring and diagnosis technology of oilfield minor repair machine [4]. If the oilfield minor repair machine has a serious failure, it needs the help of relevant experts to solve the problem, but if every time there is a failure, professionals will be invited to the scene, which is not very realistic, but also a waste of social resources.…”

Section: Introductionmentioning

confidence: 99%

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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%

Section: Introductionmentioning

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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“…It is based on a powerful trading company, which is conducive to the flow of agricultural products logistics, but it is easy to increase the inventory of the whole chain, so this type of structure should mainly solve the inventory problem of the supply chain. Perhaps this type of structure can reduce the inventory and increase the flow speed of logistics, but it cannot guarantee the overall optimal [3][4]. FIGURE 3 Structure of concentration supply chain 3.…”

Section: Introductionmentioning

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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“…Therefore, the emergence of WSN has attracted great attention from military departments, industry and academia in many countries. Meanwhile, the mobile localization technology is a crucial part of WSN because position information is the foundation of applications based on sensor networks [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

A Grey Model and Mixture Gaussian Residual Analysis-Based Position Estimator in an Indoor Environment

Wang

Ren

Cheng

et al. 2020

Sensors

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As the progress of electronics and information processing technology continues, indoor localization has become a research hotspot in wireless sensor networks (WSN). The adverse non-line of sight (NLOS) propagation usually causes large measurement errors in complex indoor environments. It could decrease the localization accuracy seriously. A traditional grey model considers the motion characteristics but does not take the NLOS propagation into account. A robust interacting multiple model (R-IMM) could effectively mitigate NLOS errors but the clipping point is hard to choose. In order to easily cope with NLOS errors, we present a novel filter framework: mixture Gaussian fitting-based grey Kalman filter structure (MGF-GKFS). Firstly, grey Kalman filter (GKF) is proposed to pre-process the measured distance, which can mitigate the process noise and alleviate NLOS errors. Secondly, we calculate the residual which is the difference between the filtered distance of GKF and the measured distance. Thirdly, a soft decision method based on mixture Gaussian fitting (MGF) is proposed to identify the propagation condition through residual value and give the degree of membership. Fourthly, weak NLOS noise is further processed by unscented Kalman filter (UKF). The filtered results of GKF and UKF are weighted using the degree of membership. Finally, a maximum likelihood (ML) algorithm is applied to get the coordinate of the target. MGF-GKFS is not supported by any of the priori knowledge. Full-scale simulations and an experiment are conducted to compare the localization accuracy and robustness with the state-of-the-art algorithms, including robust interacting multiple model (R-IMM), unscented Kalman filter (UKF) and interacting multiple model (IMM). The results show that MGF-GKFS could achieve significant improvement compared to R-IMM, UKF and IMM algorithms.

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TDOA-Based Joint Synchronization and Localization Algorithm for Asynchronous Wireless Sensor Networks

Cited by 81 publications

References 51 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

A Grey Model and Mixture Gaussian Residual Analysis-Based Position Estimator in an Indoor Environment

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