UAV-assited Wireless Powered Sensor Network over Rician Shadowed Fading Channels

UAV-assited Wireless Powered Sensor Network over Rician Shadowed Fading Channels

Bibliographic Details
Parent link:	Microwaves, Antennas, Communications and Electronic Systems (COMCAS): proceedings IEEE International Conference, 4-6 November 2019, Tel Aviv, Israel. [6 p.].— , 2019
Corporate Author:	Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Научно-образовательный центр "Автоматизация и информационные технологии"
Other Authors:	Panich S. Stefan, Ponnimbaduge Perera T. D. Tarindu Dilshan, Dzhayakodi (Jayakody) Arachshiladzh D. N. K. Dushanta Nalin Kumara, Stefanovic C. Caslav, Prlincevic B. Bojan
Summary:	Title screen In this study, introduces a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) of photovoltaic (PV). The traditional methods are failed to track the global maximum power point under partially shaded conditions (PSC), which decrease the reliability of the power system and increase the system losses. The research results of the CS algorithm and perturb and observe (P&O) algorithm are investigated for different cases of operations of PV panels under PSC. The proposed CS model can track the GMPP very accurate with high efficiency in less time under severe weather conditions as well as in PSC. Режим доступа: по договору с организацией-держателем ресурса
Published:	2019
Subjects:	электронный ресурс труды учёных ТПУ 5G communication Rician Shadowed fading channels sensor network unmanned aerial vehicle (UAV) wireless energy transfer (WET) 5G сенсорные сети беспилотные летательные аппараты беспроводная передача
Online Access:	https://doi.org/10.1109/COMCAS44984.2019.8958112
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=662291

Internet

https://doi.org/10.1109/COMCAS44984.2019.8958112