A Self-Powering Wireless Environment Monitoring System Using Soil Energy

Lin, Fu-To; Kuo, Yu-Chun; Hsieh, Jen-Chien; Tsai, Hsi-Yuan; Liao, Yu-Te; Lee, Huang-Chen

doi:10.1109/jsen.2015.2398845

Cited by 40 publications

(18 citation statements)

References 20 publications

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“…Meanwhile, orders from the remote processing center are transmitted to the sink node through the GPRS module and serial port, which completes the information interaction between the remote processing center and sink node (Zhang, 2013;Gutierrez et al, 2014). The main function of the processing layer is the receiving, storage and processing of factors influencing SOC (Lin et al, 2015).…”

Section: Acquisition System Of Factors Influencing Soc Based Upon Iotmentioning

confidence: 99%

Factors acquisition and content estimation of farmland soil organic carbon based upon Internet of Things

Liang

et al. 2017

Chin. Geogr. Sci.

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Aiming at the shortage of sufficient continuous parameters for using models to estimate farmland soil organic carbon (SOC) content, an acquisition method of factors influencing farmland SOC and an estimation method of farmland SOC content with Internet of Things (IOT) are proposed in this paper. The IOT sensing device and transmission network were established in a wheat demonstration base in Yanzhou Distict of Jining City, Shandong Province, China to acquire data in real time. Using real-time data and statistics data, the dynamic changes of SOC content between October 2012 and June 2015 was simulated in the experimental area with SOC dynamic simulation model. In order to verify the estimation results, potassium dichromate external heating method was applied for measuring the SOC content. The results show that: 1) The estimated value matches the measured value in the lab very well. So the method is feasible in this paper. 2) There is a clear dynamic variation in the SOC content at 0.2 m soil depth in different growing periods of wheat. The content reached the highest level during the sowing period, and is lowest in the flowering period. 3) The SOC content at 0.2 m soil depth varies in accordance with the amount of returned straw. The larger the amount of returned straw is, the higher the SOC content.

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Section: Acquisition System Of Factors Influencing Soc Based Upon Iotmentioning

confidence: 99%

Factors acquisition and content estimation of farmland soil organic carbon based upon Internet of Things

Liang

et al. 2017

Chin. Geogr. Sci.

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“…Sensors have become the key enabling technologies of the Internet-of-Things (IoT) applications such as manufacturing and industrial support [ 1 , 2 , 3 , 4 , 5 ], transportation and mobility [ 1 , 2 , 3 , 4 , 5 , 6 ], energy [ 7 , 8 ], retail [ 9 , 10 , 11 ], smart cities [ 12 , 13 ], health care [ 14 , 15 ], supply chain [ 16 , 17 , 18 ], agriculture [ 19 , 20 ], and buildings [ 21 , 22 , 23 ]. With these growing demand for contactless and wireless data acquisition and services, the demand for optimized sensors in various fields is also growing.…”

Section: Introductionmentioning

confidence: 99%

Dual-Polarized Multi-Channel 24 GHz Radar Sensor Antenna for High Channel-to-Channel Isolation

Kim

Noh

Lee

et al. 2020

Sensors

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This article presents a dual-polarized, high gain multi-beam and high T/Rx channel-to-channel isolation antenna module for 24 GHz sensor applications. The proposed antenna is configured to support 2-Tx and 2-Rx channels with a pair of vertically polarized (VP) radiation pattern and a pair of horizontally polarized (HP) radiation pattern. Further, each linearly polarized T/Rx antenna is configured by 2 × 4 array with a multi-layer integrated feed network, resulting in four sets of 2 × 4 array antennas fabricated within a single printed circuit board (PCB). Since multiple RF channels must be ensured with minimal interference, high antenna-to-antenna, including Tx-to-Tx, Rx-to-Rx, and Tx-to-Rx port isolations in the proposed antenna are achieved by multi-layered feed network and four sets of T-shaped magnetic walls. To verify the performance of the proposed structure, a 2-Tx and 2-Rx antenna module was fabricated at 24 GHz. The fabricated antenna showed a measured maximum 10-dB impedance bandwidth of 3.9% with a maximum measured gain of 11.7 dBi, considering both Tx and Rx. Further, the measured channel-to-channel isolations were always better than 35.6 dB at 24 GHz.

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“…About the robust system research, a self-powering wireless environment monitoring system was proposed by using renewable and cost-efficient soil energy [10]. The authors proposed the Civitavecchia coastal environment monitoring system, which is used to analyze the conflicts between coastal pressures and sensitivity areas in article [11].…”

Section: Introductionmentioning

confidence: 99%

Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring

Jin¹,

Qian²,

Xing³

et al. 2017

Int. J. Onl. Eng.

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Abstract-Sensor failure have become a major bottleneck, which restricted the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks. This paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, based on the whole system model and sensor node circuit, we studied the fault detection method, which can improve the survivability of the scheme. Additionally, the robust guarantee scheme through hardware design and algorithm model was proposed. The performance results shown that the proposed scheme can realize the remote wireless communication services and prolong the network life cycle, so as to improve the survivability of WSNs. Through the combination of theoretical research and practical analysis system, the network survivability would be improved through soft and hard optimization combination strategy.Keywords-Wireless sensor networks; invulnerability; indoor Complex environment monitoring; hardware design; robust guarantee IntroductionThe environmental monitoring system [1, 2] based on WSNs (Wireless Sensor Networks) is used to reduce the cost of the entire system, mostly using mass low-cost sensor nodes [3] for networking. Invulnerability of WSNs is the ability measurement metric of WSNs, which could be sustainable and stable to provide reliable services for the entire network system. In the case of random or deterministic failures [4] in the network communication, the system is able to complete the key services.About the robust stability guarantees, the article [5] presented a new soft constrained model predictive control approach for tracking that provides stability guarantees even for unstable systems. The research of article [6] exploited the cubature rule in the unknown input observer structure to overcome nonlinear calculations in the presence of external disturbances for sensor fault detection purposes. In article [7], it is demonstrated that, under mild assumptions, the distributional robust optimization problems over Wasserstein balls can in fact be reformulated as finite convex programs---in many interesting cases even as tractable linear programs. A robust adaptive beamforming scheme based on two-component electromagnetic vector-sensor 4

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A Self-Powering Wireless Environment Monitoring System Using Soil Energy

Cited by 40 publications

References 20 publications

Factors acquisition and content estimation of farmland soil organic carbon based upon Internet of Things

Factors acquisition and content estimation of farmland soil organic carbon based upon Internet of Things

Dual-Polarized Multi-Channel 24 GHz Radar Sensor Antenna for High Channel-to-Channel Isolation

Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring

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