University of Oulu

Energy efficiency in LoRaWAN

Saved in:
Author: Iqbal, Junnaid1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Communications Engineering
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3 MB)
Pages: 47
Persistent link: http://urn.fi/URN:NBN:fi:oulu-202006212610
Language: English
Published: Oulu : J. Iqbal, 2020
Publish Date: 2020-06-29
Thesis type: Master's thesis
Tutor: Alves, Hirley
Reviewer: Alves, Hirley
Mikhaylov, Konstantin
Description:

Abstract

Low-power wide-area networks (LPWANs) are emerging rapidly as a fundamental Internet of Things (IoT) technology because of features like low-power consumption, long-range connectivity, and the ability to support massive numbers of users. With its high growth rate, Long Range (LoRa) is becoming the most adopted LPWAN technology. Sensor nodes are typically powered by batteries, and many network applications, which expect end-devices to operate reliably for a prolonged time. Each sensor node or actuator consumes a distinct current for a different period of time, depending on its operational state. To model a self-sufficient sensor nodes network, it is of the utmost importance to investigate the energy consumption of class-A end-devices in a LoRa Wide Area Network (LoRaWAN) with the impact of respective physical and MAC layers. Several latest published research works have analyzed the energy consumption model of a sensor node in different transmission (confirmed or unconfirmed) modes and also examined the network performance of LoRaWAN under uplink outage probabilities. This research work investigates the energy cost of the LoRaWAN, deploying hundreds of sensor nodes to transmit information messages. The proposed scheme is evaluated by considering the average power consumption of end-device powered by 2400 mAh battery. Furthermore, the energy efficiency of an unconfirmed transmission network is examined to provide the optimal number of sensor nodes for each spreading factor.

see all

Subjects:
Copyright information: © Junnaid Iqbal, 2020. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.