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| Title | Energy Harvesting In Fifth-Generation Wireless Network: Upcoming Challenges And Future Directions |
|---|---|
| ID_Doc | 23288 |
| Authors | Dwivedi N.; Kumar S.; Tanwar S.; Tyagi S. |
| Year | 2023 |
| Published | Lecture Notes in Networks and Systems, 664 LNNS |
| DOI | http://dx.doi.org/10.1007/978-981-99-1479-1_4 |
| Abstract | With ever-increasing smart applications in diversified domains, ranging from home automation, smart cities, industrial applications, military applications, remote sensing, etc., number of wireless sensors, wireless modules, and processing units have multiplied many folds from thousands to zillions, so has the requirement of power backup and energy harvesting strategies. Concerns about efficiency of energy usage have become a prominent issue in the networks deployed at sites for communication. With the 5G in sight, a slew of some base stations and the demand for energy-efficient system design and administration is increased by a plethora of linked devices. Awareness about energy harvesting has increased in fifth-generation wireless networks due to extensive consumption of energy in smart applications which have grown exponentially in last decade. Energy harvesting technique is one potential and probable solution for enhancing the lives of networks as well as devices. Till date, several researches have been carried out by many researchers for use of techniques for harvesting of energy in fifth-generation wireless networks communication, and these are still at very primary stage and lot of room for improvement there. The purpose of this work is to present the advantages of energy harvesting technology in fifth-generation network communication. Work presented categorizes the available literature on harvesting of energy in fifth-generation networks for energy harvesting devices, energy conversion methods, phases, resources of energy, and propagation medium of energy. Work concludes with the challenges and opportunities ahead with energy harvesting techniques and outlines research gaps with future directions. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
| Author Keywords | 5G; Ambient energy; Cognitive radio network; Energy harvesting; Stochastic geometry model; Wireless communication |
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