Hybrid Energy Harvesting for Maximizing Lifespan and Sustainability of Wireless Sensor Networks: A Comprehensive Review &amp; Proposed Systems

Bathre, Mukesh; Das, Pradipta Kumar

doi:10.1109/cispsse49931.2020.9212287

Cited by 59 publications

(2 citation statements)

References 30 publications

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“…Therefore, finding a more suitable way of powering these nodes has become an issue that needs to be solved urgently [1][2][3][4][5][6]. Passive IoT provides a solution for this which is able to harvest energy from the environment to feed low-power sensors in a wireless sensor network in order to achieve self-powered nodes without batteries [7][8][9][10][11]. RF energy is one of the accessible environmental energy sources and has the advantage of having been widely used in RFID, a case of passive IoT [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A High-Efficiency, Ultrawide-Dynamic-Range Radio Frequency Energy Harvester Using Adaptive Reconfigurable Technique

Lian,

Mei

2024

Electronics

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This paper presents a novel adaptive reconfigurable rectifier architecture for radio frequency energy harvesting (RFEH); in addition, a new metric for high-efficiency dynamic range (DR) is proposed. The presented rectifier architecture is based on a double-sided diode-feedback cross-coupled differential-drive rectifier (CCDR) structure incorporating self-body bias for reconfigurable operation. An adaptive structure based on a Schmitt trigger is proposed to adaptively switch the rectifier connection without auxiliary voltage (Vaux), with two rectifier stages in parallel at low power and in series at high power. The system is simulated at a 180 nm CMOS process and the results show more than 17 dB DR at 900 MHz, with efficiency higher than 50% at a 100 kΩ load.

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Section: Introductionmentioning

confidence: 99%

A High-Efficiency, Ultrawide-Dynamic-Range Radio Frequency Energy Harvester Using Adaptive Reconfigurable Technique

Lian,

Mei

2024

Electronics

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“…There is also a category called ''Hardware'' related to the material aspect like batteries (Alkaline, Lithium-ion, Ni-Cd, Ni-Mh, ...), supercapacitors (activated carbon, Manganese (Mn), Graphite, ruthenium oxide (RuO2), selected electrolyte, ...), dielectric materials, etc... In this category, we also find the new technologies of ambient energy recovery [4], [5], [6], [7], hence the appearance of another generation of Wireless Sensor Networks with Energy Recovery (WSN-ER). These new technologies have attracted academia and industry attention because they provide sufficient confidence in the operability of the network since, the ability to collect ambient energy allows a sustainable operation of the sensor nodes and therefore, of the network as well.…”

Section: Introductionmentioning

confidence: 99%

Towards Improved Lifespan for Wireless Sensor Networks: A Review of Energy Harvesting Technologies and Strategies

Ehlali¹,

Sayah

2022

EJECE

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Wireless Sensor Networks (WSN) have largely integrated all areas, including the military and civil fields. Their main limitation is their energy resources, which are very limited. Charging or replacing their batteries is often complicated or impossible, due to the high costs involved. The development of new approaches to energy management techniques for these autonomous systems has identified two strategic categories of energy management classification. The first category "Software" targets the development of algorithms for routing protocols to make transmissions smarter and more energy-efficient. The second category "Hardware", focused more on new energy recovery technologies, has drawn the attention of academicians and industrialists because they bring a new manner of energy storage with life extension performance. Furthermore, this category has inspired new ways of supporting WSN administered applications such as real-time processes. In this paper, we review different current sources of Energy Harvesting Technologies and Strategies with WSN (EHTS-WSN) and their various areas of applications. Our review provided a current analysis and future prospects for energy harvesting purposes in WSN. Hence, we propose that it would be required to ensure a compromise that combined the ''Software'' and ''Hardware'' designs of WSN in order to optimize energy consumption and therefore the lifetime of the network.

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Corporate Cultures and Craft the Chronicles of Business Evolution and Adaptation

Bhargavi,

Jadav,

Sahoo

et al. 2024

Lecture Notes in Networks and Systems

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Hybrid Energy Harvesting for Maximizing Lifespan and Sustainability of Wireless Sensor Networks: A Comprehensive Review & Proposed Systems

Cited by 59 publications

References 30 publications

A High-Efficiency, Ultrawide-Dynamic-Range Radio Frequency Energy Harvester Using Adaptive Reconfigurable Technique

A High-Efficiency, Ultrawide-Dynamic-Range Radio Frequency Energy Harvester Using Adaptive Reconfigurable Technique

Towards Improved Lifespan for Wireless Sensor Networks: A Review of Energy Harvesting Technologies and Strategies

Corporate Cultures and Craft the Chronicles of Business Evolution and Adaptation

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