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LoRa for the Internet of Things

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TLDR
A performance and capability analysis of a currently available LoRa transceiver is presented and it is demonstrated how unique features such as concurrent non-destructive transmissions and carrier detection can be employed in a wide-area application scenario.
Abstract
New transceiver technologies have emerged which enable power efficient communication over very long distances. Examples of such Low-Power Wide-Area Network (LPWAN) technologies are LoRa, Sigfox and Weightless. A typical application scenario for these technologies is city wide meter reading collection where devices send readings at very low frequency over a long distance to a data concentrator (one-hop networks). We argue that these transceivers are potentially very useful to construct more generic Internet of Things (IoT) networks incorporating multi-hop bidirectional communication enabling sensing and actuation. Furthermore, these transceivers have interesting features not available with more traditional transceivers used for IoT networks which enable construction of novel protocol elements. In this paper we present a performance and capability analysis of a currently available LoRa transceiver. We describe its features and then demonstrate how such transceiver can be put to use efficiently in a wide-area application scenario. In particular we demonstrate how unique features such as concurrent non-destructive transmissions and carrier detection can be employed. Our deployment experiment demonstrates that 6 LoRa nodes can form a network covering 1.5 ha in a built up environment, achieving a potential lifetime of 2 year on 2 AA batteries and delivering data within 5 s and reliability of 80%.

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Journal ArticleDOI

A Study of LoRa: Long Range & Low Power Networks for the Internet of Things

TL;DR: An overview of LoRa and an in-depth analysis of its functional components are provided and some possible solutions for performance enhancements are proposed.
Proceedings ArticleDOI

Do LoRa Low-Power Wide-Area Networks Scale?

TL;DR: This paper develops models describing LoRa communication behaviour and uses these models to parameterise a LoRa simulation to study scalability, showing that a typical smart city deployment can support 120 nodes per 3.8 ha, which is not sufficient for future IoT deployments.
Journal ArticleDOI

A Survey of LoRaWAN for IoT: From Technology to Application

TL;DR: A detailed description of the technology is given, including existing security and reliability mechanisms, and a strengths, weaknesses, opportunities and threats (SWOT) analysis is presented along with the challenges that LoRa and LoRaWAN still face.
Journal ArticleDOI

LoRa Scalability: A Simulation Model Based on Interference Measurements

TL;DR: This study investigates the scalability in terms of the number of end devices per gateway of single-gateway LoRaWAN deployments, and determines the intra-technology interference behavior with two physical end nodes, by checking the impact of an interfering node on a transmitting node.
Proceedings ArticleDOI

LoRa Transmission Parameter Selection

TL;DR: This paper is the first to present a thorough analysis of the impact of LoRa transmission parameter selection on communication performance, and develops a link probing regime which enables us to quickly determine transmission settings that satisfy performance requirements.
References
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TL;DR: A technique to detect and recover messages from packet collisions by exploiting the capture effect can differentiate between collisions and packet loss and can identify the nodes involved in the collisions.
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TL;DR: A-MAC is presented, a receiver-initiated link layer for low-power wireless networks that supports several services under a unified architecture, and does so more efficiently and scalably than prior approaches.
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