Wake-up Radio Ranges: A Performance Study

Basagni, Stefano; Ceccarelli, Francesco; Petrioli, Chiara; Raman, Nithila; Sheshashayee, Abhimanyu Venkatraman

doi:10.1109/wcnc.2019.8885974

Cited by 19 publications

(15 citation statements)

References 21 publications

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“…The higher the value is, the more time is taken to send a packet and the higher range is achieved. The coding rate CR can take the following values: 4 5 , 2 3 , 4 7 , 1 2 . The smaller the coding rate is, the higher the time on air is and the more reliable the data transmission is.…”

Section: Long Range Communicationsmentioning

confidence: 99%

“…WuR is a secondary always-on Ultra Low Power (ULP) radio subsystem that is connected to the main node. The WuR power consumption is several orders of magnitude less than that of the main node, but it has a short range communication capability [ 4 ]. The WuR is continuously listening to the channel while the main radio is in sleep mode, and, when a specific signal called Wake-Up Beacon (WUB) is received, the WuR wakes up the main radio through an interrupt.…”

Section: Introductionmentioning

confidence: 99%

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How Can Wake-up Radio Reduce LoRa Downlink Latency for Energy Harvesting Sensor Nodes?

Djidi

Gautier

Courtay

et al. 2021

Sensors

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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.

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Section: Long Range Communicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How Can Wake-up Radio Reduce LoRa Downlink Latency for Energy Harvesting Sensor Nodes?

Djidi

Gautier

Courtay

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The Internet of Things (IoT) technology provides a new boundary that considers network among smart physical objects or "Things" and their processing capabilities [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…The networking applications especially WSNs, offer huge deployments of battery-powered devices that are connected to communicate wirelessly [3]. For that reason, the reduction of consumed power in battery-powered WSN nodes is a critical confrontation [23].…”

Section: Introductionmentioning

confidence: 99%

An overview on low energy wake-up radio technology: Active and passive circuits associated with MAC and routing protocols

Zaraket¹,

Murad²,

Yazdani³

et al. 2021

Journal of Network and Computer Applications

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“…WuR range has been evaluated showing the bottleneck of such technologies. In recent study [6] Basagni et al evaluated the range of WuR in a real field deployment. The study shows that WuR can receive the quasi totality of sent packets at a distance up to 24 m. Meanwhile, channel coding can be used to improve the sensitivity as presented by Rakovic et al in [7].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Wake-Up Radio Range Through Minimum Energy Coding

Djidi

Gautier

Courtay

et al. 2021

ICC 2021 - IEEE International Conference on Communications

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A substantial part of the research on wireless sensor networks is focused on the optimization of the energy consumption through either hardware or protocol communication stacks. Wake-up Receivers (WuRs) represent a new paradigm that offers both ultra low power consumption and low latency through asynchronous communications. However, WuRs have a low sensitivity and thus can misinterpret the received signal inducing a performance degradation of the whole communicating system. To tackle this issue, low power channel coding techniques can be used and we propose in this work to apply Hamming coding and Minimum Energy Coding (ME) to enhance WuR range. A performance study of these two types of coding shows that ME coding outperforms Hamming code in reducing both bit error rate and energy consumption. At a range of 28 m, ME coding saves about 3 times the energy at a bit error rate of 10 −3 compared to uncoded scheme. Furthermore, experimentation on the missed wake-ups when applying ME coding was done, showing a gain of 22% in reliability compared to uncoded scheme.

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Wake-up Radio Ranges: A Performance Study

Cited by 19 publications

References 21 publications

How Can Wake-up Radio Reduce LoRa Downlink Latency for Energy Harvesting Sensor Nodes?

How Can Wake-up Radio Reduce LoRa Downlink Latency for Energy Harvesting Sensor Nodes?

An overview on low energy wake-up radio technology: Active and passive circuits associated with MAC and routing protocols

Enhancing Wake-Up Radio Range Through Minimum Energy Coding

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