Optimized random deployment of large-scale energy-harvesting sensors for field reconstruction

Author(s):  
Teng-Cheng Hsu ◽  
Y.-W Peter Hong ◽  
Tsang-Yi Wang
2021 ◽  
Vol 11 (9) ◽  
pp. 3868
Author(s):  
Qiong Wu ◽  
Hairui Zhang ◽  
Jie Lian ◽  
Wei Zhao ◽  
Shijie Zhou ◽  
...  

The energy harvested from the renewable energy has been attracting a great potential as a source of electricity for many years; however, several challenges still exist limiting output performance, such as the package and low frequency of the wave. Here, this paper proposed a bistable vibration system for harvesting low-frequency renewable energy, the bistable vibration model consisting of an inverted cantilever beam with a mass block at the tip in a random wave environment and also develop a vibration energy harvesting system with a piezoelectric element attached to the surface of a cantilever beam. The experiment was carried out by simulating the random wave environment using the experimental equipment. The experiment result showed a mass block’s response vibration was indeed changed from a single stable vibration to a bistable oscillation when a random wave signal and a periodic signal were co-excited. It was shown that stochastic resonance phenomena can be activated reliably using the proposed bistable motion system, and, correspondingly, large-scale bistable responses can be generated to realize effective amplitude enlargement after input signals are received. Furthermore, as an important design factor, the influence of periodic excitation signals on the large-scale bistable motion activity was carefully discussed, and a solid foundation was laid for further practical energy harvesting applications.


Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 219
Author(s):  
Phuoc Duc Nguyen ◽  
Lok-won Kim

People nowadays are entering an era of rapid evolution due to the generation of massive amounts of data. Such information is produced with an enormous contribution from the use of billions of sensing devices equipped with in situ signal processing and communication capabilities which form wireless sensor networks (WSNs). As the number of small devices connected to the Internet is higher than 50 billion, the Internet of Things (IoT) devices focus on sensing accuracy, communication efficiency, and low power consumption because IoT device deployment is mainly for correct information acquisition, remote node accessing, and longer-term operation with lower battery changing requirements. Thus, recently, there have been rich activities for original research in these domains. Various sensors used by processing devices can be heterogeneous or homogeneous. Since the devices are primarily expected to operate independently in an autonomous manner, the abilities of connection, communication, and ambient energy scavenging play significant roles, especially in a large-scale deployment. This paper classifies wireless sensor nodes into two major categories based the types of the sensor array (heterogeneous/homogeneous). It also emphasizes on the utilization of ad hoc networking and energy harvesting mechanisms as a fundamental cornerstone to building a self-governing, sustainable, and perpetually-operated sensor system. We review systems representative of each category and depict trends in system development.


2017 ◽  
Vol 4 (2) ◽  
pp. 384-392 ◽  
Author(s):  
Hiroki Kawabata ◽  
Koji Ishibashi ◽  
Satyanarayana Vuppala ◽  
Giuseppe T. F. de Abreu

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhihao Zhao ◽  
Yejing Dai ◽  
Di Liu ◽  
Linglin Zhou ◽  
Shaoxin Li ◽  
...  

AbstractAs a new-era of energy harvesting technology, the enhancement of triboelectric charge density of triboelectric nanogenerator (TENG) is always crucial for its large-scale application on Internet of Things (IoTs) and artificial intelligence (AI). Here, a microstructure-designed direct-current TENG (MDC-TENG) with rationally patterned electrode structure is presented to enhance its effective surface charge density by increasing the efficiency of contact electrification. Thus, the MDC-TENG achieves a record high charge density of ~5.4 mC m−2, which is over 2-fold the state-of-art of AC-TENGs and over 10-fold compared to previous DC-TENGs. The MDC-TENG realizes both the miniaturized device and high output performance. Meanwhile, its effective charge density can be further improved as the device size increases. Our work not only provides a miniaturization strategy of TENG for the application in IoTs and AI as energy supply or self-powered sensor, but also presents a paradigm shift for large-scale energy harvesting by TENGs.


Author(s):  
Sijing Guo ◽  
Lin Xu ◽  
Yilun Liu ◽  
Xuexun Guo ◽  
Lei Zuo

Energy-Harvesting Shock Absorber (EHSA), as a large-scale energy-harvesting mechanism for recovering suspension vibration energy, has been studied for years. A design of the regenerative shock absorber with Mechanical Motion Rectifier (MMR) has been proved to be more reliable and efficient. This paper reports a comprehensive study of the influence of MMR-based Energy-Harvesting Shock Absorber (MMR-EHSA) on vehicle dynamics performances. Models of MMR-EHSA and vehicle with MMR-EHSA with two degrees of freedom are created. Simulations are conducted on five typical vehicles, including passenger car, bus and three types of trucks. The ride characteristics of comfort, road handling and energy recovery are evaluated on these vehicles under various MMR rotational inertia and harvesting damping. The simulation results show that MMR-EHSA is able to improve both the ride comfort and road handling simultaneously under certain conditions over the traditional shock absorbers, which broadens our knowledge of MMR-EHSA’s applicable scenarios.


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