Introducing a survey methodology for assessing LoRaWAN coverage in Smart Campus scenarios

Alves, Hudson B. M.; Lima, Vinicius S. S.; Silva, Diego R. C.; Nogueira, Marco Aurélio; Rodrigues, Marconi C.; Cunha, Rafael N.; Carvalho, Dhiego Fernandes; Sisinni, Emiliano; Ferrari, Paolo

doi:10.1109/metroind4.0iot48571.2020.9138300

Cited by 10 publications

(6 citation statements)

References 16 publications

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“…Notably, the authors introduced a multi-step strategy to guarantee high levels of accuracy and efficiency in data transmission. Both papers [ 12 , 13 ] provided experimental evaluations of the LoRaWAN performance in a specific scenario (a wide and densely populated campus). The results obtained are interesting; however, the analyses carried out by the study authors differ substantially from the assessment presented in this paper in terms of environmental conditions, data collection and testing techniques.…”

Section: Related Work and Contributionmentioning

confidence: 99%

An IoT Measurement System Based on LoRaWAN for Additive Manufacturing

Fedullo

Morato

Peserico

et al. 2022

Sensors

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The Industrial Internet of Things (IIoT) paradigm represents a significant leap forward for sensor networks, potentially enabling wide-area and innovative measurement systems. In this scenario, smart sensors might be equipped with novel low-power and long range communication technologies to realize a so-called low-power wide-area network (LPWAN). One of the most popular representative cases is the LoRaWAN (Long Range WAN) network, where nodes are based on the widespread LoRa physical layer, generally optimized to minimize energy consumption, while guaranteeing long-range coverage and low-cost deployment. Additive manufacturing is a further pillar of the IIoT paradigm, and advanced measurement capabilities may be required to monitor significant parameters during the production of artifacts, as well as to evaluate environmental indicators in the deployment site. To this end, this study addresses some specific LoRa-based smart sensors embedded within artifacts during the early stage of the production phase, as well as their behavior once they have been deployed in the final location. An experimental evaluation was carried out considering two different LoRa end-nodes, namely, the Microchip RN2483 LoRa Mote and the Tinovi PM-IO-5-SM LoRaWAN IO Module. The final goal of this research was to assess the effectiveness of the LoRa-based sensor network design, both in terms of suitability for the aforementioned application and, specifically, in terms of energy consumption and long-range operation capabilities. Energy optimization, battery life prediction, and connectivity range evaluation are key aspects in this application context, since, once the sensors are embedded into artifacts, they will no longer be accessible.

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Section: Related Work and Contributionmentioning

confidence: 99%

An IoT Measurement System Based on LoRaWAN for Additive Manufacturing

Fedullo

Morato

Peserico

et al. 2022

Sensors

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“…Considering these restrictions in the article [17], the authors propose a new approach based on cloud-centric systems for automatically creating coverage maps in complex scenarios. To elaborate on this system, the authors use Laird's Sentrius RG186 gateway.…”

Section: Related Workmentioning

confidence: 99%

Map Coverage of LoRaWAN Signal’s Employing GPS from Mobile Devices

Brito

Mendes

Zorawski

et al. 2022

Communications in Computer and Information Science

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Forests are remote areas with uneven terrain, so it is costly to map the range of signals that enable the implementation of systems based on wireless and long-distance communication. Even so, the interest in Internet of Things (IoT) functionalities for forest monitoring systems has increasingly attracted the attention of several researchers. This work demonstrates the development of a platform that uses the GPS technology of mobile devices to map the signals of a LoRaWAN Gateway. Therefore, the proposed system is based on concatenating two messages to optimize the LoRaWAN transmission using the Global Position System (GPS) data from a mobile device. With the proposed approach, it is possible to guarantee the data transmission when finding the ideal places to fix nodes regarding the coverage of LoRaWAN because the Gateway bandwidth will not be fulfilled. The tests indicate that different changes in the relief and large bodies drastically affect the signal provided by the Gateway. This work demonstrates that mapping the Gateway's signal is essential to attach modules in the forest, agriculture zones, or even smart cities.

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“…For example, the authors in [ 37 ] explore the viability of a sailing monitor system based on LoRa, while another study measures the performance a LoRa link can achieve in underground to aboveground communications for different types of soil [ 38 ]. Another study evaluates methods for LoRaWAN coverage survey in the context of a smart campus [ 39 ]. However, no empirical work investigates the congestion collapse issues in LoRaWAN.…”

Section: Related Workmentioning

confidence: 99%

“…The works reviewed above are based on simulation (with one exception [22]). There also exists a wide body of LoRaWAN studies focused on experimental or real-application scenarios [35][36][37][38][39]. Some of these works investigate LoRaWAN features that are relevant regarding network performance.…”

Section: Related Workmentioning

confidence: 99%

The SF12 Well in LoRaWAN: Problem and End-Device-Based Solutions

Casals

Gómez

Vidal

2021

Sensors

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LoRaWAN has become a popular technology for the Internet of Things (IoT) device connectivity. One of the expected properties of LoRaWAN is high network scalability. However, LoRaWAN network performance may be compromised when even a relatively small number of devices use link-layer reliability. After failed frame delivery, such devices typically tend to reduce their physical layer bit rate by increasing their spreading factor (SF). This reaction increases channel utilization, which may further degrade network performance, even into congestion collapse. When this problem arises, all the devices performing reliable frame transmission end up using SF12 (i.e., the highest SF in LoRaWAN). In this paper, we identify and characterize the described network condition, which we call the SF12 Well, in a range of scenarios and by means of extensive simulations. The results show that by using alternative SF-management techniques it is possible to avoid the problem, while achieving a packet delivery ratio increase of up to a factor of 4.7.

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Introducing a survey methodology for assessing LoRaWAN coverage in Smart Campus scenarios

Cited by 10 publications

References 16 publications

An IoT Measurement System Based on LoRaWAN for Additive Manufacturing

An IoT Measurement System Based on LoRaWAN for Additive Manufacturing

Map Coverage of LoRaWAN Signal’s Employing GPS from Mobile Devices

The SF12 Well in LoRaWAN: Problem and End-Device-Based Solutions

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