Please use this identifier to cite or link to this item:
Publication type: Conference paper
Type of review: Peer review (abstract)
Title: Harvesting energy from trees in order to power LPWAN IoT nodes
Authors: Meli, Marcel
Hegetschweiler, Lukas
et. al: No
DOI: 10.21256/zhaw-18842
Proceedings: Wireless congress proceedings
Conference details: Wireless Congress 2018, Munich, 21-22 March 2018
Issue Date: Nov-2018
Publisher / Ed. Institution: WEKA
Publisher / Ed. Institution: Munich
Language: English
Subjects: LoRaWAN; LPWAN; LoRa; Wireless; Low power; Energy harvesting; TEG
Subject (DDC): 004: Computer science
Abstract: Low Power Wide Area Network (aka LPWAN or LPWA or LPN) nodes are important components in the IoT chain. They allow energy-efficient wireless communications between elements that can be several kilometers apart. This in turn should enable energy savings and facilitate the deployment of energy autonomous devices. However, energy autonomy is still in its infancy, as far as LPWAN is concerned. Most nodes run on mains or batteries. Mains seriously limit the mobility of the nodes and are only used in special cases. Batteries often lead to maintenance costs issues. Scavenging energy from the surroundings to achieve energy autonomy is an alternative that has hardly been used for LPWAN systems. In cases where energy harvesting has been used, solar energy has been the most popular source. Other methods are possible and could even be important alternatives. In this work we harvest energy from trees using TEGs. That energy is stored and used to power a long-range wireless embedded system (LoRaWAN in this case). Tests made for several months have shown that this method works well. Enough energy is harvested in all seasons, allowing sensing and transmission of data several times per day.
Fulltext version: Updated version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Embedded Systems (InES)
Appears in Collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
harvesting_energy_from_trees_meli_November2018 v2.pdf2.18 MBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.