東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

RF Energy Harvesting : = Powering Internet of Things.

Record Type:	Electronic resources : Monograph/item
Title/Author:	RF Energy Harvesting :/
Reminder of title:	Powering Internet of Things.
Author:	Liang, Zhijian.
Description:	1 online resource (139 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 83-09, Section: B.
Contained By:	Dissertations Abstracts International83-09B.
Subject:	Load. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29003107click for full text (PQDT)
ISBN:	9798209784531

RF Energy Harvesting : = Powering Internet of Things.
Liang, Zhijian.

RF Energy Harvesting :Powering Internet of Things. - 1 online resource (139 pages)

Source: Dissertations Abstracts International, Volume: 83-09, Section: B.

Thesis (Ph.D.)--Hong Kong University of Science and Technology (Hong Kong), 2021.

Includes bibliographical references

With an increasing number of IoT devices deployed to many applications such as retail, healthcare, transportation, and industrial automation, the power supply of these IoT devices is becoming a critical problem. Because it is impractical to replace or recharge the battery of the mass IoT devices, which labor-intensive and time-consuming. Though we can provide power for the IoT devices by extracting vibration energy, thermal energy, and solar energy, RF energy has the advantages of fewer placement constraints and existing free RF resources, which makes it a promising solution for powering IoT devices.The key problems of RF energy harvesting are the low power density of the ambient RF environment and its time-changing characteristic, which limit the harvested power and result in low power conversion efficiency. In this thesis, the system level of RF energy harvesting is investigated to address the challenging problems and extract as much energy from the ambient RF environment as possible.Firstly, the analytical model of a differential-drive cross-coupled rectifier and optimization procedures for the most power-efficient rectifiers are provided, which achieve high power conversion efficiency and high sensitivity. Secondly, the design and analysis of a compact dualwideband multi-mode resonant printed quasi-Yagi antenna with a dual-driven element are presented, which has a small size and wide bandwidth. Thirdly, a statistical model based on kernel density estimation and a prediction method based on the moving average for the power density of mobile service channels are derived, which matches well with the measurement results and enables accurate and effective prediction. Fourthly, a compact dual-band four-port ambient RF energy harvester with high sensitivity, high efficiency, and wide power range is introduced to replace the battery of mass IoT devices. Fifthly, a buck-boost converter that is event-driven multi-input multi-output with adaptive maximum power point tracking is proposed, which achieves high power conversion efficiency and a wide input power range.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798209784531Subjects--Topical Terms:

3562902
Load.
Index Terms--Genre/Form:

542853
Electronic books.

RF Energy Harvesting : = Powering Internet of Things.
LDR:03389nmm a2200361K 4500 001 2361238
005 20231023072121.5
006 m o d
007 cr mn ---uuuuu
008 241011s2021 xx obm 000 0 eng d
020 $a 9798209784531
035 $a (MiAaPQ)AAI29003107
035 $a (MiAaPQ)HongKongSciTech_991012980221103412
035 $a AAI29003107
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Liang, Zhijian. $3 3701894
245 1 0 $a RF Energy Harvesting : $b Powering Internet of Things.
264 0 $c 2021
300 $a 1 online resource (139 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 83-09, Section: B.
500 $a Advisor: Yuan, Jie.
502 $a Thesis (Ph.D.)--Hong Kong University of Science and Technology (Hong Kong), 2021.
504 $a Includes bibliographical references
520 $a With an increasing number of IoT devices deployed to many applications such as retail, healthcare, transportation, and industrial automation, the power supply of these IoT devices is becoming a critical problem. Because it is impractical to replace or recharge the battery of the mass IoT devices, which labor-intensive and time-consuming. Though we can provide power for the IoT devices by extracting vibration energy, thermal energy, and solar energy, RF energy has the advantages of fewer placement constraints and existing free RF resources, which makes it a promising solution for powering IoT devices.The key problems of RF energy harvesting are the low power density of the ambient RF environment and its time-changing characteristic, which limit the harvested power and result in low power conversion efficiency. In this thesis, the system level of RF energy harvesting is investigated to address the challenging problems and extract as much energy from the ambient RF environment as possible.Firstly, the analytical model of a differential-drive cross-coupled rectifier and optimization procedures for the most power-efficient rectifiers are provided, which achieve high power conversion efficiency and high sensitivity. Secondly, the design and analysis of a compact dualwideband multi-mode resonant printed quasi-Yagi antenna with a dual-driven element are presented, which has a small size and wide bandwidth. Thirdly, a statistical model based on kernel density estimation and a prediction method based on the moving average for the power density of mobile service channels are derived, which matches well with the measurement results and enables accurate and effective prediction. Fourthly, a compact dual-band four-port ambient RF energy harvester with high sensitivity, high efficiency, and wide power range is introduced to replace the battery of mass IoT devices. Fifthly, a buck-boost converter that is event-driven multi-input multi-output with adaptive maximum power point tracking is proposed, which achieves high power conversion efficiency and a wide input power range.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Load. $3 3562902
650 4 $a Thermal energy. $3 3560700
650 4 $a Electricity distribution. $3 3562889
650 4 $a Bandwidths. $3 3560998
650 4 $a Internet service providers. $3 866110
650 4 $a Internet of Things. $3 3538511
650 4 $a CMOS. $3 3681646
650 4 $a Spectrum allocation. $3 3562481
650 4 $a Radiation. $3 673904
650 4 $a Wireless networks. $3 1531264
650 4 $a Diodes. $3 673996
650 4 $a Cellular telephones. $3 607843
650 4 $a Solar energy. $3 520346
650 4 $a Electricity. $3 524507
650 4 $a Radio frequency. $3 658799
650 4 $a Antennas. $3 3681648
650 4 $a Design. $3 518875
650 4 $a Power supply. $3 3683627
650 4 $a Geometry. $3 517251
650 4 $a Energy. $3 876794
650 4 $a Electrical engineering. $3 649834
650 4 $a Alternative energy. $3 3436775
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0389
690 $a 0791
690 $a 0544
690 $a 0363
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Hong Kong University of Science and Technology (Hong Kong). $3 1022235
773 0 $t Dissertations Abstracts International $g 83-09B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29003107 $z click for full text (PQDT)