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Performance evaluation of LoRaWAN for mission-critical IOT networks

conference contribution
posted on 29.01.2020, 00:00 by AI Ahmad, Biplob Ray, M Chowdhury
With the evolution of wireless communication in Internet of Things (IoT) networks, Low Power Wide Area Network (LPWAN) has attracted a lot of attention due to its low cost and low power usages. Some of the LPWAN offerings are mainly proprietary but Long-Range Wide Area Network (LoRaWAN) is an open standard communication protocol (ALOHA-based) for a network using the Long Range (LoRa) in the physical layer. Due to its bi-directional communication and Adaptive Data Rate (ADR) capability, the LoRaWAN gateways are adopted in various IoT networks, like smart city, smart farming, worldwide. However, for wider adoption of LoRaWAN in mission-critical applications, it must be tested for scalability and reliability in various practical scenarios to reduce adverse impact in the system. This paper has conducted an evaluation of scalability and reliability of LoRaWAN using three practical scenarios of IoT systems. The evaluation has considered throughput performance, spreading factor statistics, gateway coverage assessment, and success probability performance of the protocol to reveal the performance of the protocol. The evaluation result shows that LoRaWAN networks are decidedly scalable supporting hundreds or thousands of end devices; however, on the other hand, there is an impression where scalability could be inversely proportional to performance only with an increased number of nodes and not gateways, thus requires a solution at the nodes. Our evaluated result can be very useful not only for designing the LoRaWAN based IoT network but also for improving LoRaWAN data transmission techniques for more reliable data transfer between sensor nodes and gateway.

History

Editor

Doss R; Piramuthu S; Zhou W

Volume

1113 CCIS

Start Page

37

End Page

51

Number of Pages

15

Start Date

27/11/2019

Finish Date

29/11/2019

eISSN

1865-0937

ISSN

1865-0929

ISBN-13

9783030343521

Location

Melbourne, Victoria, Australia

Publisher

Springer

Place of Publication

Cham, Switzerland

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Deakin University

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Name of Conference

5th Future Network Systems and Security (FNSS 2019)

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