Self-powered elementary hybrid magnetoelectric sensor

Gerhardt, Martha; Zimoch, Lukas; Dorn, Christian; Elzenheimer, Eric; Bald, Christin; Lerg, Tjorben; Hoffmann, Johannes; Kaps, Sören; Höft, Michael; Schmidt, Gerhard; Wulfinghoff, Stephan; Adelung, Rainer

doi:10.1016/j.nanoen.2023.108720

Cited by 5 publications

(2 citation statements)

References 50 publications

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“…To extend the life cycle of WSN, there are two ways: power supply and energy saving. For this reason, many researchers at home and abroad have carried out a lot of work, such as investigating self-power supply technology for harvesting energy from nature [ 9 ], wireless power technology [ 10 ], and the node energy consumption problem [ 11 ]. However, their proposed schemes lack comprehensiveness and exhibit poor performance.…”

Section: Introductionmentioning

confidence: 99%

Research on Energy Harvesting Mechanism and Low Power Technology in Wireless Sensor Networks

Chen,

Tang,

Cui

et al. 2023

Sensors

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Wireless sensor networks (WSNs) are widely used in various fields such as military, industrial, and transportation for real-time monitoring, sensing, and data collection of different environments or objects. However, the development of WSNs is hindered by several limitations, including energy, storage space, computing power, and data transmission rate. Among these, the availability of power energy plays a crucial role as it directly determines the lifespan of WSN. To extend the life cycle of WSN, two key approaches are power supply improvement and energy conservation. Therefore, we propose an energy harvesting system and a low-energy-consumption mechanism for WSNs. Firstly, we delved into the energy harvesting technology of WSNs, explored the utilization of solar energy and mechanical vibration energy to ensure a continuous and dependable power supply to the sensor nodes, and analyzed the voltage output characteristics of bistable piezoelectric cantilever. Secondly, we proposed a neighbor discovery mechanism that utilizes a separation beacon, is based on reply to ACK, and can facilitate the identification of neighboring nodes. This mechanism operates at a certain duty cycle ratio, significantly reduces idle listening time and results in substantial energy savings. In comparison to the Disco and U-connect protocols, our proposed mechanism achieved a remarkable reduction of 66.67% and 75% in the worst discovery delay, respectively. Furthermore, we introduced a data fusion mechanism based on integer wavelet transform. This mechanism effectively eliminates data redundancy caused by spatiotemporal correlation, resulting in a data compression rate of 5.42. Additionally, it significantly reduces energy consumption associated with data transmission by the nodes.

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Section: Introductionmentioning

confidence: 99%

Research on Energy Harvesting Mechanism and Low Power Technology in Wireless Sensor Networks

Chen,

Tang,

Cui

et al. 2023

Sensors

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“…The emergence of self-powered sensors has brought a new approach to this issue beyond battery power supply. Self-powered sensors collect energy from environments such as magnetic fields, electric fields [6], vibrations [7], and solar energy [8], and efficiently utilize energy through energy management circuits [9], effectively solving some power supply problems.…”

Section: Introductionmentioning

confidence: 99%

State Evaluation of Self-Powered Wireless Sensors Based on a Fuzzy Comprehensive Evaluation Model

Xiong,

Li,

Yang

et al. 2023

Sensors

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The energy harvesters used in self-powered wireless sensing technology, which has the potential to completely solve the power supply problem of the sensing nodes from the source, usually require mechanical movement or operate in harsh environments, resulting in a significant reduction in device lifespan and reliability. Therefore, the influencing factors and failure mechanisms of the operating status of self-powered wireless sensors were analyzed, and an innovative evaluation index system was proposed, which includes 4 primary indexes and 13 secondary indexes, including energy harvesters, energy management circuits, wireless communication units, and sensors. Next, the weights obtained from the subjective analytic hierarchy process (AHP) and objective CRITIC weight method were fused to obtain the weights of each index. A self-powered sensor evaluation scheme (FE-SPS) based on fuzzy comprehensive evaluation was implemented by constructing a fuzzy evaluation model. The advantage of this scheme is that it can determine the current health status of the system based on its output characteristics. Finally, taking vibration energy as an example, the operational status of the self-powered wireless sensors after 200 h of operation was comprehensively evaluated. The experimental results show that the test self-powered wireless sensor had the highest score of “normal”, which is 0.4847, so the evaluation result was “normal”. In this article, a reliability evaluation strategy for self-powered wireless sensor was constructed to ensure the reliable operation of self-powered wireless sensors.

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Magnetoelectrics for biomedical applications: 130 years later, bridging materials, energy, and life

Martins,

Brito-Pereira,

Ribeiro

et al. 2024

Nano Energy

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Self-powered elementary hybrid magnetoelectric sensor

Cited by 5 publications

References 50 publications

Research on Energy Harvesting Mechanism and Low Power Technology in Wireless Sensor Networks

Research on Energy Harvesting Mechanism and Low Power Technology in Wireless Sensor Networks

State Evaluation of Self-Powered Wireless Sensors Based on a Fuzzy Comprehensive Evaluation Model

Magnetoelectrics for biomedical applications: 130 years later, bridging materials, energy, and life

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