Compensation Method for Sensor Network Clock Error Based on Cyclic Symmetry Algorithm

Feng, Hongyinping; Yang, Zhanxin; Shi, Yongsheng; Nabipour, Narjes

doi:10.3390/s20061738

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…These instruments inherently have different sources and magnitudes of errors due to different designs and operating principles. A previous study by [ 15 ] showed that many sensors and transducers were affected by the drift voltage because of the length wiring that caused voltage loss due to the increase in wire resistance. Other factors include loose wire connection and environmental factors such as the wire’s direct exposure to the sun and radioactivity.…”

Section: Resultsmentioning

confidence: 99%

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Design and Implementation of Fuzzy Compensation Scheme for Temperature and Solar Irradiance Wireless Sensor Network (WSN) on Solar Photovoltaic (PV) System

Pazikadin

Rifai

Ali

et al. 2020

Sensors

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Photovoltaic (PV) systems need measurements of incident solar irradiance and PV surface temperature for performance analysis and monitoring purposes. Ground-based network sensor measurement is preferred in many near real-time operations such as forecasting and photovoltaic (PV) performance evaluation on the ground. Hence, this study proposed a Fuzzy compensation scheme for temperature and solar irradiance wireless sensor network (WSN) measurement on stand-alone solar photovoltaic (PV) system to improve the sensor measurement. The WSN installation through an Internet of Things (IoT) platform for solar irradiance and PV surface temperature measurement was fabricated. The simulation for the solar irradiance Fuzzy Logic compensation (SIFLC) scheme and Temperature Fuzzy Logic compensation (TFLC) scheme was conducted using Matlab/Simulink. The simulation result identified that the scheme was used to compensate for the error temperature and solar irradiance sensor measurements over a variation temperature and solar irradiance range from 20 to 60 °C and from zero up to 2000 W/m2. The experimental results show that the Fuzzy Logic compensation scheme can reduce the sensor measurement error up to 17% and 20% for solar irradiance and PV temperature measurement.

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Section: Resultsmentioning

confidence: 99%

“…A compensation technique is needed to improve sensor accuracy measurement by eliminating the sensor error measurement. This technique enhances the persistence of power PV generation forecasting [ 15 , 16 ]. To the author’s best knowledge, previous studies on sensor error compensation have only focused on a single type of sensor.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Fuzzy Compensation Scheme for Temperature and Solar Irradiance Wireless Sensor Network (WSN) on Solar Photovoltaic (PV) System

Pazikadin

Rifai

Ali

et al. 2020

Sensors

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show abstract

“…The first paper presents a method of clock error compensation in sensor networks in order to provide a reference time for a wireless sensor network, which comprises the basis for real-time interaction, collaborative processing of sensor node information, and scheduling of network time [1]. The proposed method is based on a cyclic symmetry algorithm to compensate for the cumulative error of clock synchronization in the sensor network.…”

Section: Submissions Review Process Summary Of Contributionsmentioning

confidence: 99%

Wireless Systems and Networks in the IoT

Gavalas

Stavrakis

Cao

et al. 2020

Sensors

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This Special Issue is focused on breakthrough developments in the field of Wireless Systems and Networks in the IoT. The selected contributions report current scientific progress in a wide range of topics covering clock error compensation in sensor networks, backscatter communication networks, Radio-Frequency Identification (RFID)-based inventory management, resource allocation in Long-Term Evolution (LTE)/LTE-A, (Long Range Wide-Area Network (LoRaWAN) modeling and key generation for the IoT.

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Design of delay compensation algorithm in remote auction network for digital art works

Lin

2023

JHS

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Aiming at the problem of delay and packet loss in current remote network, a delay compensation algorithm for high-speed network is studied and applied to the remote auction of digital art works. High-speed network delay mainly includes: transmission processing delay, waiting delay, transmission delay, and reception processing delay. The delay model of high-speed network is designed by using a time division multiple access protocol. Based on the high-speed network delay model, the Kalman filter is used to design the high-speed network delay control algorithm to maintain the high-speed network delay. At the same time, the round-trip delay compensation algorithm based on link delay is used to compensate the high-speed network delay. The experimental results show that the proposed method compensates the delay of more than 235 ms, and the packet loss rate of high-speed network is only 0.59%, and the throughput reaches 241 Mbit/s, which validates the algorithm can effectively compensate the delay of high-speed network and reduce the packet loss rate of high-speed network.

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Compensation Method for Sensor Network Clock Error Based on Cyclic Symmetry Algorithm

Cited by 3 publications

References 14 publications

Design and Implementation of Fuzzy Compensation Scheme for Temperature and Solar Irradiance Wireless Sensor Network (WSN) on Solar Photovoltaic (PV) System

Design and Implementation of Fuzzy Compensation Scheme for Temperature and Solar Irradiance Wireless Sensor Network (WSN) on Solar Photovoltaic (PV) System

Wireless Systems and Networks in the IoT

Design of delay compensation algorithm in remote auction network for digital art works

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