An efficient solar energy harvesting system for wireless sensor network nodes

Antony, S.; Indu, S.; Pandey, Rajeshwari

doi:10.1080/02522667.2020.1714182

Cited by 21 publications

(11 citation statements)

References 6 publications

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“…With the continuous advent of different types of sensors on various smart devices in recent years, such devices are being widely used in many fields such as the Internet of ings [3][4][5]. A large number of multimodal sensor data are constantly being produced, and how to efficiently process these data has become a major concern of the academic community [6].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Multimodal Sensor Motion Intention Recognition Based on Three‐Dimensional Convolutional Neural Network Algorithm

Wen

Wang

2021

Computational Intelligence and Neuroscience

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With the development of microelectronic technology and computer systems, the research of motion intention recognition based on multimodal sensors has attracted the attention of the academic community. Deep learning and other nonlinear neural network models have a wide range of applications in big data sets. We propose a motion intention recognition algorithm based on multimodal long-term and short-term spatiotemporal feature fusion. We divide the target data into multiple segments and use a three-dimensional convolutional neural network to extract the short-term spatiotemporal features. The three types of features of the same segment are fused together and input into the LSTM network for time-series modeling to further fuse the features to obtain multimodal long-term spatiotemporal features with higher discrimination. According to the lower limb movement pattern recognition model, the minimum number of muscles and EMG signal characteristics required to accurately recognize the movement state of the lower limbs are determined. This minimizes the redundant calculation cost of the model and ensures the real-time output of the system results.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Multimodal Sensor Motion Intention Recognition Based on Three‐Dimensional Convolutional Neural Network Algorithm

Wen

Wang

2021

Computational Intelligence and Neuroscience

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“…Battery-powered sensor nodes are used as an energy supply in the evolution of technology that is deploying rapidly in WSNs [ 11 , 12 ]. This latter is formed by detached and dedicated sensors that observe, record, and transmit information about the surrounding environment to a central hub.…”

Section: Related Workmentioning

confidence: 99%

Fast and Intelligent Irrigation System Based on WSN

Ghorbel

Ayadi

Frikha

et al. 2022

Computational Intelligence and Neuroscience

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In the agricultural industry, wireless sensor networks (WSNs) can be an important tool to promote economic growth. Using network devices in agriculture has the potential to enhance the production process. One of the key challenges WSN faces is energy efficiency. A model based on the water pipeline method is proposed in order to efficiently utilize sensor nodes in agricultural production and water distribution. A water pipeline serves as an important structure for transporting potable water across a distance for consumption or irrigation. In contrast, the biggest transportation problems of water pipelines are leaks. So, water resources may be lost as a result. These pipes need real-time monitoring to prevent such problems. The wireless sensor network technique, however, is considered one of the best solutions available today for monitoring water pipelines. A detailed analysis of agriculture is provided by the model. Aspects of WSN are discussed and their agricultural use is expounded. Moreover, this paper describes the various types of applicability of existing sensor networks in the field of agriculture, along with some technical perspectives. To achieve the best power consumption and communication for the two types of range, ZigBee wireless protocols are utilized. As such, high-performance information that provides a platform for WSNs to better support agricultural production is also included in our proposed model in order to address the shortcomings of existing WSNs regarding energy efficiency. This paper presents the improvements of the proposed solution compared to other techniques in the context of energy conservation in wireless sensor networks and in the monitoring water-saving process.

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“…During the rapid deployment of WSN technology, the battery power supply with sensor nodes is mainly used as an energy supply [7,8]. e WSN is a collection of detached and devoted sensors that observe and record the semantic state of the surroundings and transfer the recorded information to a principal site.…”

Section: Background and Related Workmentioning

confidence: 99%

Energy Efficiency Analysis of Wireless Sensor Networks in Precision Agriculture Economy

Zhang

Meng

2021

Scientific Programming

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Wireless sensor network (WSN) can play an important role during precision agriculture production to promote the growth of the agricultural economy. The application of WSN in agricultural production can achieve precision agriculture. WSN has the biggest challenge of energy efficiency. This paper proposes a model to efficiently utilize the energy of sensor nodes in precision agriculture production. The proposed model provides a comprehensive analysis of the precision agriculture. The model focuses on the characteristics of WSN and expands its application in precision agriculture. In addition, this paper also puts forward some technical prospects to provide a good reference for comprehensively and effectively improving the overall development level of precision agriculture. The paper analyzes the applicability and limitations of the existing sensor networks used for agricultural production technology. The ZigBee and Lora wireless protocols are utilized to have the best power consumption and communication in short distance and long distance. Our proposed model also suggests improvement measures for the shortcomings of existing WSN in the context of energy efficiency to provide an information platform for WSN to play a better role in agricultural production.

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An efficient solar energy harvesting system for wireless sensor network nodes

Cited by 21 publications

References 6 publications

[Retracted] Multimodal Sensor Motion Intention Recognition Based on Three‐Dimensional Convolutional Neural Network Algorithm

[Retracted] Multimodal Sensor Motion Intention Recognition Based on Three‐Dimensional Convolutional Neural Network Algorithm

Fast and Intelligent Irrigation System Based on WSN

Energy Efficiency Analysis of Wireless Sensor Networks in Precision Agriculture Economy

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