Low Delay Technology Research of Transmission Line Tower Monitoring Network Integrating WSN and RFID

Deng, Fang−Ming; Zuo, Pengqi; Wen, Kaiyun; Wu, Xiang; He, Yigang

doi:10.1109/access.2019.2933462

Cited by 14 publications

(7 citation statements)

References 29 publications

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“…Some scholars have designed an agricultural product information management system based on RFID technology and public key so as to trace the information of agricultural products in the supply chain [19]. Other scholars have proposed the application of RFID technology in the field of animal traceability and health monitoring [20]. Some scholars proposed to introduce the RFID technology into the food supply chain to trace and share information from food production and processing to final sales and consumption, so as to realize the role of food safety supervision [21].…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Agricultural Supply Chain Effects and Big Data Analysis Based on Internet of Things Technology

Fang

2021

Discrete Dynamics in Nature and Society

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Building an information-based rural economic supply chain is an effective way to implement the rural revitalization strategy. The construction of China’s agricultural product logistics market is still very backward, mainly including imperfect information system and high cost of intermediate circulation links. How to optimize the supply chain of agricultural products, ensure the normal supply of agricultural products quality and quantity in the market, improve people’s living standards, and achieve the purpose of improving benefits is an important topic to be studied today. Aiming at the problems of traditional agricultural products supply chain, the application of Internet of Things technology in supply chain can be effectively solved. Therefore, this paper proposes the research on the environmental effect evaluation of rural economic supply chain based on Internet of Things technology and proposes to build a wireless sensor network for agricultural products for the collection and exchange of agricultural products information. At the same time, RFID (radio-frequency identification) electronic tags integrated with sensors are applied in other links of the supply chain. The experimental results show that the construction of the rural economic supply chain system based on Internet of Things technology can effectively optimize the rural economic supply chain, realize efficient information sharing, improve the quality of agricultural products, reduce the cost of each link of the supply chain, improve the competitiveness of rural supply chain, and promote the good development of rural agricultural products and rural economic supply chain environment.

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Section: Related Workmentioning

confidence: 99%

Evaluation of Agricultural Supply Chain Effects and Big Data Analysis Based on Internet of Things Technology

Fang

2021

Discrete Dynamics in Nature and Society

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“…1 contains three parts. The rst part represents the channel access delay, the second part represents the transmission delay of the RF system and the third part represents the transmission delay of the nodes [20].…”

Section: Algorithm Processmentioning

confidence: 99%

Implimentation of Novel Framework For Efficient Data Gathering With Multiple Mobile Sink Sensor Nodes In WSN

Abassi

Anis

Kashif

et al. 2021

Preprint

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In couple of years, the great research towards oceanographic data transmission and submerged impurity the Submerged Wireless Sensor Networks are getting great consideration. SWSN includes issues such as link sustainability, time to begin interaction, data loss due to real-time transmission attempts and transmission range. The aforementioned complications have been approached through different routing configurations, but none of these can handle transmission efficiently. In this paper we proposed a framework of network in depth based data acquisition system with simulation and experimental results. The system model has been efficiently transmit data (Turbidity, Temperature and PH) in a region (Indus River) using the smart cluster sensor nodes and acquires result of 6.5 to 31 N.T.U of turbidity. The experimental results proved that the projected work improves the performance of the data transmission in Submerged Wireless Sensor Networks.

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“…In recent years, the design of radio frequency identification (RFID) sensor tags has aroused widespread interest. Due to the working mechanism of backscattering, RFID sensor tags show the characteristics of simple circuit structure, low cost and low power consumption [9], which is especially suitable for long-term monitoring. Moreover, because each RFID sensor tag has unique ID information, it is suitable for rapid fault location.…”

Section: Introductionmentioning

confidence: 99%

External Breaking Vibration Identification Method of Transmission Line Tower Based on Solar-Powered RFID Sensor and CNN

et al. 2020

Self Cite

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This paper proposes an external breaking vibration identification method of transmission line tower based on a radio frequency identification (RFID) sensor and deep learning. The RFID sensor is designed to obtain the vibration signal of the transmission line tower. In order to achieve long-time monitoring and longer working distance, the proposed RFID sensor tag employs a photovoltaic cell combined with a super capacitor as the power management module. convolution neural network (CNN) is adopted to extract the characteristics of vibration signals and relevance vector machine (RVM) is then employed to achieve vibration pattern identification. Furthermore, the Softmax classifier and gradient descent method are used to adjust the weights and thresholds of CNN, so as to obtain a high-precision identification structure. The experiment results show that the minimum sensitivity of the proposed solar-powered RFID sensor tag is −29 dBm and the discharge duration of the super capacitor is 63.35 h when the query frequencies are 5/min. The optimum batch size of CNN is 5, and the optimum number of convolution cores in the first layer and the second layer are 2 and 4, respectively. The maximum number of iterations is 10 times. The vibration identification accuracy of the proposed method is over 99% under three different conditions.

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Low Delay Technology Research of Transmission Line Tower Monitoring Network Integrating WSN and RFID

Cited by 14 publications

References 29 publications

Evaluation of Agricultural Supply Chain Effects and Big Data Analysis Based on Internet of Things Technology

Evaluation of Agricultural Supply Chain Effects and Big Data Analysis Based on Internet of Things Technology

Implimentation of Novel Framework For Efficient Data Gathering With Multiple Mobile Sink Sensor Nodes In WSN

External Breaking Vibration Identification Method of Transmission Line Tower Based on Solar-Powered RFID Sensor and CNN

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