Radio-Triggered Power Management in Wireless Sensor Networks

Wang, Jie; Gao, Qinghua; Yu, Yan; Wang, Hongyu; Jin, Minglu

doi:10.5772/39189

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…The thermoelectric battery is connected to the load through a DCDC converter. The main loads in this paper are the battery and electrical appliances, which can be equivalently represented as a form of resistance and voltage source in series [13]. Based on the equivalent model shown in the above figure, according to the conservation of energy, it can be concluded:…”

Section: Maximum Power Point Trackingmentioning

confidence: 99%

An energy management strategy for thermoelectric power generation system

Ling,

Wang,

Wang

2024

J. Phys.: Conf. Ser.

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To enhance the output power of thermoelectric generation, a strategy for the energy control of the thermoelectric power generation system is proposed, which involves the rational control and allocation of its output energy. The system includes a thermoelectric battery, DCDC converter, controller, storage battery, and DC load. The system completes energy control based on the relationship between the power generation and load power. The system adopts the maximum power point tracking (MPPT) algorithm, which obtains the maximum output power of the thermoelectric battery by changing the duty cycle of the converter, thus improving the output power and working efficiency of the thermoelectric power generation system. To protect the storage battery and extend its service life, the system adopts a charging management method that combines MPPT charging, constant current charging, and constant voltage charging, making it more scientific and reasonable. Finally, the feasibility and effectiveness of the proposed energy control management strategy are verified through actual experimental results.

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Section: Maximum Power Point Trackingmentioning

confidence: 99%

An energy management strategy for thermoelectric power generation system

Ling,

Wang,

Wang

2024

J. Phys.: Conf. Ser.

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“…1, allows for communication between the transmitter module (which is intended to be placed in a traffic sign) and the receiver module (which is intended to be placed in a vehicle). Because power consumption of the wireless modules is largest during active periods (both transmitting and receiving [5]) and there is no need for a sign to transmit continuously, system is provided with the wake-up mechanism: a moving vehicle sends wake-up signals as it moves along a road, and when the sign is within the range, it changes its state from deep-sleep to active and transmits identification data. This data is then processed in the receiver (i.a.…”

Section: Introductionmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Janisz¹,

Stȩpień²,

Odrobina³

2018

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This paper presents an experimental system for remote communication between road users and traffic signs. Implemented solution consists of two modules: a transmitter (traffic sign), including novel system for remote waking-up by the passing vehicle with use of the quasi-passive (biased) diode detector circuit, and a receiver (vehicle), which is responsible for wake-up signaling and interpreting received messages. Both modules use Wi-Fi protocol operating in 2.4 GHz ISM band for sending data, and OOK signaling in 868 MHZ ISM band for sending wake-up signals. The paper provides theoretical analysis, description of design challenges and chosen solutions, and finally, laboratory measurements as well as the results of tests conducted in the systems' target environment with a moving vehicle, confirming correct operation of the system.

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“…It is contributed to compare composited route and optimize communication task and improve composited routing table [7]. Some domestic scholars also research on deep discussions of localization in WSN [8,9]. Unknown nodes and anchor nodes are two important parts of location system.…”

Section: Introductionmentioning

confidence: 99%

“…There are common ranging methods as follows: TOA ranging method [9,11], TDOA ranging method [11], AOA ranging [12], and RSSI ranging method [13].…”

Section: Introductionmentioning

confidence: 99%

A Location Estimation Algorithm Based on RSSI Vector Similarity Degree

Shang

Wen

Wang

et al. 2014

International Journal of Distributed Sensor Networks

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We present a detailed study on the RSS-based location techniques in wireless sensor networks (WSN). There are two aspects in this paper. On the one hand, the accurate RSSI received from nodes is the premise of accurate location. Firstly, the distribution trend of RSSI is analyzed in this experiment and determined the loss model of signal propagation by processing experimental data. Secondly, in order to determine the distance between receiving nodes and sending nodes, Gaussian fitting is used to process specific RSSI at different distance. Moreover, the piecewise linear interpolation is introduced to calculate the distance of any RSSI. On the other hand, firstly, the RSSI vector similarity degree (R-VSD) is used to choose anchor nodes. Secondly, we designed a new localization algorithm which is based on the quadrilateral location unit by using more accurate RSSI and range. Particularly, there are two localization mechanisms in our study. In addition, the generalized inverse is introduced to solve the coordinates of nodes. At last, location error of the new algorithm is about 17.6% by simulation experiment.

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Radio-Triggered Power Management in Wireless Sensor Networks

Cited by 6 publications

References 17 publications

An energy management strategy for thermoelectric power generation system

An energy management strategy for thermoelectric power generation system

International Journal of Electronics and Telecommunications

A Location Estimation Algorithm Based on RSSI Vector Similarity Degree

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