On the integration of LoRaWAN with the 5G test network

Yasmin, Rumana; Petäjäjärvi, Juha; Mikhaylov, Konstantin; Pouttu, Ari

doi:10.1109/pimrc.2017.8292557

Cited by 45 publications

(35 citation statements)

References 7 publications

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“…The distance from the gateway to the nearest point of the target deployment area is approximately 180 m. The gateway was configured to use the default frequency plan, including the three default LoRaWAN channels. A special application has been deployed on top of the gateway to forward the collected sensor data to the ThingWorx IoT platform [16], which stored all the collected data, over MQTT protocol (for further details refer to [11]). Using few test devices, we characterized the performance of the communication for the different SF/DR between a test device located in the various points in the test area.…”

Section: Network Deployment and Configurationsmentioning

confidence: 99%

“…1. The packet flow from sensor network to application interface, technical details and challenges are available in [11].…”

Section: Network Deployment and Configurationsmentioning

confidence: 99%

“…A LoRa gateway can support seamless connectivity with network server by using, e.g., a 4/5G backhaul [11], thus providing ubiquitous coverage which can have a fundamental role in the proliferation of IoT. When it comes to large-scale deployment in indoor and outdoor locations, LoRaWAN is rather mature in availability and it is straightforward to deploy [12].…”

Section: Introductionmentioning

confidence: 99%

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Large and Dense LoRaWAN Deployment to Monitor Real Estate Conditions and Utilization Rate

Yasmin

Petäjäjärvi

Mikhaylov

et al. 2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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Internet of Things (IoT) drives today's world towards digitalization allowing diverse and innovative use cases. These use cases are changing in a fundamental way how people are conducting their business in various verticals. In this paper we focus on the real estate use case. We deploy a monitoring system in a large open space at University of Oulu. The deployed system visualizes real estate conditions of this environment and gives insight to understanding a LoRaWAN IoT-enabled building. The number of the sensor nodes composing the deployed system reaches 331, with each node comprising five sensors providing information about temperature, humidity, CO2, amount of light, and motion. In the paper we report the results and the lessons learned during the deployment of such an extensive LoRaWAN sensor network. Aside of the practicalities related to the deployment of the network, we characterize and report the performance of the deployed network. The conducted deployment can become a valuable reference for engineers and practitioners, deploying a real estate monitoring system with LoRaWAN.

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Section: Network Deployment and Configurationsmentioning

confidence: 99%

“…1. The packet flow from sensor network to application interface, technical details and challenges are available in [11].…”

Section: Network Deployment and Configurationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Large and Dense LoRaWAN Deployment to Monitor Real Estate Conditions and Utilization Rate

Yasmin

Petäjäjärvi

Mikhaylov

et al. 2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Self Cite

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“…It must be noted that, in this case, LPWANs are not intended to substitute 4G and 5G networks, where available. Indeed, some studies exploiting the possible integration of LPWAN solutions with 5G system have been already presented in the literature [48,49]. In particular, it has been demonstrated that LPWANs can be used as viable complement to existing solutions when the refresh time interval is relatively long (on the order of 1 min), and when low throughput values (on the order of 1 kb/s) are tolerated.…”

Section: The Communication Infrastructurementioning

confidence: 99%

On the Mobile Communication Requirements for the Demand-Side Management of Electric Vehicles

et al. 2018

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The rising concerns about global warming and environmental pollution are increasingly pushing towards the replacement of road vehicles powered by Internal Combustion Engines (ICEs). Electric Vehicles (EVs) are generally considered the best candidates for this transition, however, existing power grids and EV management systems are not yet ready for a large penetration of EVs, and the current opinion of the scientific community is that further research must be done in this field. The so-called Vehicle-to-Grid (V2G) concept plays a relevant role in this scenario by providing the communication capabilities required by advanced control and Demand-Side Management (DSM) strategies. Following this research trend, in this paper the communication requirements for the DSM of EVs in urban environments are discussed, by focusing on the mobile communication among EVs and smart grids. A specific system architecture for the DSM of EVs moving inside urban areas is proposed and discussed in terms of the required data throughput. In addition, the use of a Low-Power Wide-Area Network (LPWAN) solution-the Long-Range Wide Area Network (LoRaWAN) technology-is proposed as a possible alternative to cellular-like solutions, by testing an experimental communication infrastructure in a real environment. The results show that the proposed LPWAN technology is capable to handle an adequate amount of information for the considered application, and that one LoRa base station is able to serve up to 438 EVs per cell, and 1408 EV charging points.Energies 2018, 11, 1220 2 of 27 in the last 40 years, rising from 2.8 GtCO 2 eq of 1970 to 7 GtCO 2 eq in 2010. It is worth noting that the main contribution of this increase is due to road vehicles, whose GHG emissions rose in the same period by almost 200% [2]. A further issue of concern is the contribution of road vehicles to the air pollution in urban centers. Recent studies demonstrated that conventional ICEs are responsible for the emission of the 73% of total urban air pollutants, and also revealed that the growth in chronic health problems in urban areas can be directly related to transportation systems [3]. As a consequence, several restrictions on ICE vehicles have been proposed in European cities, such as the progressive diesel ban in Paris (entered into force since 2015), and the Ultra-Low Emission Zone (ULEZ) that will come into force in London starting from April 2019 [4].Electric Vehicles (EVs), in particular Battery EVs (BEVs), are generally considered the best candidates for the replacement of conventional ICE vehicles, thanks to their independence from the primary energy source, and to the total absence of direct GHG and pollutant emissions. Recent studies demonstrated that BEVs are the less carbon-intensive option if compared to other solutions, such as Plug-in Hybrid EVs (PHEVs) and Hybrid EVs (HEVs) [5], and that the large penetration of EVs could help to significantly reduce indirect GHG emissions and air pollution in urban areas [6,7].Whilst high investment costs and low energy densit...

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“…It has to highlight that mobile communications, despite partially overlap with LPWAN target scenarios, are an ideal complement and, especially when 5G systems will be available, could be used for implementing the backbone of a wireless multi-tier approach. In some papers, such possible integration has been discussed [42,43].…”

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confidence: 99%

On the Use of LoRaWAN for the Monitoring and Control of Distributed Energy Resources in a Smart Campus

et al. 2020

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The application of the most recent advances of the Internet-of-Things (IoT) technology to the automation of buildings is emerging as a promising solution to achieve greater efficiencies in energy consumption, and to allow the realization of sustainable models. The application of IoT has been demonstrated as effective in many fields, such as confirmed, for instance, by the Industry 4.0 concepts, which are revolutionizing modern production chains. By following this approach, the use of distributed control architectures and of IoT technologies (both wired and wireless) would result in effective solutions for the management of smart environments composed of groups of buildings, such as campuses. In this case, heterogeneous IoT solutions are typically adopted to satisfy the requirements of the very diverse possible scenarios (e.g., indoor versus outdoor coverage, mobile versus fixed nodes, just to mention a few), making their large-scale integration cumbersome. To cope with this issue, this paper presents an IoT architecture able to transparently manage different communication protocols in smart environments, and investigates its possible application for the monitoring and control of distributed energy resources in a smart campus. In particular, a use–case focused on the integration of the Long Range Wide Area Network (LoRaWAN) technology is considered to cope with heterogeneous indoor and outdoor communication scenarios. The feasibility analysis of the proposed solution is carried out by computing the scalability limits of the approach, based on the proposed smart campus data model. The results of the study showed that the proposed solution would be able to manage more than 10,000 nodes. An experimental validation of the LoRaWAN technology confirms its suitability in terms of coverage and latency, with a minimum LoRaWAN cell coverage range of 250 m, and a communication latency of about 400 ms. Finally, the advantages of the proposed solution in the supervision and management of a PV system are highlighted in a real-world scenario.

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On the integration of LoRaWAN with the 5G test network

Cited by 45 publications

References 7 publications

Large and Dense LoRaWAN Deployment to Monitor Real Estate Conditions and Utilization Rate

Large and Dense LoRaWAN Deployment to Monitor Real Estate Conditions and Utilization Rate

On the Mobile Communication Requirements for the Demand-Side Management of Electric Vehicles

On the Use of LoRaWAN for the Monitoring and Control of Distributed Energy Resources in a Smart Campus

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