Abstract

LoRa is popular for internet of things applications as this communication technology offers both a long range and a low power consumption. However, LoRaWAN, the standard MAC protocol that uses LoRa as physical layer, has the bottleneck of a high downlink latency to achieve energy efficiency. To overcome this drawback we explore the use of wake-up radio combined with LoRa, and propose an adequate MAC protocol that takes profit of both these heterogeneous and complementary technologies. This protocol allows an opportunistic selection of a cluster head that forwards commands from the gateway to the nodes in the same cluster. Furthermore, to achieve self-sustainability, sensor nodes might include an energy harvesting sub-system, for instance to scavenge energy from the light, and their quality of service can be tuned, according to their available energy. To have an effective self-sustaining LoRa system, we propose a new energy manager that allows less fluctuations of the quality of service between days and nights. Latency and energy are modeled in a hybrid manner, i.e., leveraging microbenchmarks on real hardware platforms, to explore the influence of the energy harvesting conditions on the quality of service of this heterogeneous network. It is clearly demonstrated that the cooperation of nodes within a cluster drastically reduces the latency of LoRa base station commands, e.g., by almost 90% compared to traditional LoRa scheme for a 10 nodes cluster.

Highlights

  • Low-Power Wide Area Networks (LPWANs) have gained in the recent years a significant interest by both research community and industry for different Internet of Things (IoT)applications, such as smart cities, smart health, and smart farms

  • This paper presents a MAC protocol for heterogeneous architecture combining LoRa for long range communication and wake-up radio (WuR) for short range communication (LoRa-Wake-up Radio (WuR))

  • Nodes are equipped with solar panel for harvesting energy, and a novel energy manager is proposed allowing an adaptive tuning of the quality of service for each node

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Summary

Introduction

Low-Power Wide Area Networks (LPWANs) have gained in the recent years a significant interest by both research community and industry for different Internet of Things (IoT). As LoRa and WuRs present orthogonal features (long range with LoRa and short range with WuRs), recent works have proposed to combine these two technologies to achieve an energy efficiency and reduce the downlink latency [6,7]. This work investigates the use of energy harvesting, in a network architecture that combines the two technologies LoRa and WuR, with an adequate MAC protocol LoRa-WuR to reduce the downlink latency and to keep nodes self sustainable. Another challenge is to achieve a consistent downlink Quality of Service (QoS) (i.e., the received command rate) with low fluctuation between periods of plenty energy and sparse energy.

Long Range Communications
Wake-up Radio
Heterogeneous Architecture
Energy Harvesting Dedicated to LoRa Sensor Nodes
Network Architecture
LoRa-WuR MAC Protocol
Latency and Power Consumption Models and Evaluation
Latency Model
Power Consumption Model
Experimental Platform and Microbenchmark
Power Consumption and Latency Tradeoff
Combining LoRa-WuR Architecture with Energy Harvesting
Energy Harvesting Profile
Energy Budget Estimation
Uplink QoS Computation
Downlink QoS and Downlink Latency Evaluation
Findings
Conclusions
Full Text
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