Research Article
Energy harvesting for devices in wireless sensor networks: A Review
@ARTICLE{10.4108/eetiot.v9i2.2953, author={Minh Nguyen and Cuong Nguyen and Hoang Tran and Hoa Nguyen}, title={Energy harvesting for devices in wireless sensor networks: A Review}, journal={EAI Endorsed Transactions on Internet of Things}, volume={9}, number={2}, publisher={EAI}, journal_a={IOT}, year={2023}, month={7}, keywords={Wireless Sensor Networks, WSN, wireless recharging, energy harvesting, sensor nodes}, doi={10.4108/eetiot.v9i2.2953} }
- Minh Nguyen
Cuong Nguyen
Hoang Tran
Hoa Nguyen
Year: 2023
Energy harvesting for devices in wireless sensor networks: A Review
IOT
EAI
DOI: 10.4108/eetiot.v9i2.2953
Abstract
Recent years have witnessed several technological breakthroughs in wireless sensor networks (WSN), yet energy continues to be an indispensable resource despite these advancements. The amount of energy that is available in a WSN has a direct bearing on how well it functions, how well it performs, and how long it will continue to operate. Because of the limitations imposed on them by cost and size, sensor nodes almost always come outfitted with a constrained amount of energy. As a direct consequence of this, their batteries will need to be replaced at regular intervals. However, the replacement is only sometimes a viable alternative; in fact, there are some situations in which it is unlikely to be achievable and entirely improbable. Because of this, there is an urgent need for more feasible solutions, which include energy harvesting or wireless energy transfer, as well as the creation of power at the sensor nodes themselves or their delivery of power to them. These options are among the options that are now available. This study intends to accomplish the following three primary goals: In the first step of this process, we will investigate prospective renewable energy resources and information on their qualities and uses in wireless sensor networks (WSN). Second, this study examines various methods for charging batteries and the various ways each of these methods might be applied to wireless sensor networks (WSN).
Copyright © 2023 Tran et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by-nc-sa/4.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.