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Special Issue "LoRa Sensor Network"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 1 October 2020.

Special Issue Editor

Dr. Alessandro Pozzebon
Website SciProfiles
Guest Editor

Special Issue Information

Dear Colleagues,

The recent trends in the Internet of Things domain have seen the rise of a significant number of communication technologies whose main purpose is on one side the reduction of power consumption, and on the other the widening of the data transmission range. In this context, the most significant solutions have emerged within the so-called Sub-GHz frequency bands, including all those bands whose operating frequency is lower than 1 GHz. Among the various technologies, the LoRa modulation, together with the LoRaWAN MAC protocol, has drawn a large interest due to its high performances in terms of both power consumption and transmission ranges. Adopting duty-cycling policies, LoRa radio modules may be battery-powered and operate autonomously even for some years. At the same time, they can reach transmission ranges up to some kilometres in urban areas and some tens of kilometres in rural areas. These two features make this kind of devices ideal for those applications where a network infrastructure has to operate autonomously for long spans of time, in wide areas. Sensor networking architectures can then widely benefit from the introduction of this technology.

LoRa and LoRaWAN-powered sensor networks can be found in all the most significant application scenarios within the Internet of Things context, from Smart Cities and Intelligent Transport Systems to the paradigm of Industry 4.0. This vast diffusion pushed researchers, as well as IT firms, to investigate different solutions and configurations for this technology, from the physical layer to the network architecture. Such a large research interest is currently witnessed by the constantly growing number of sensor networking applications that are adopting LoRa and LoRaWAN as transmission technology and protocol for data transmission.

This Special Issue invites original contributions on the topics related to LoRa technology and LoRaWAN protocol, as well as their possible uses within the context of networks, including, but not limited to, the following topics:    

  • LoRa Physical Layer
  • LoRaWAN protocol
  • Alternative LoRa-based MAC protocols
  • LoRa-based network protocols
  • LoRa architectures for the Internet of Things
  • LoRa-based sensor networks
  • Low Power LoRa sensor nodes
  • Energy Harvesting techniques for LoRa sensor nodes
  • Power management for LoRa sensor networks
  • LoRa architectures for Industry 4.0
  • LoRa architectures for Smart Cities

Dr. Alessandro Pozzebon
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • LoRa
  • LoRaWAN
  • LPWAN
  • Sensor Networks
  • Sub-GHz
  • Smart City
  • Industry 4.0
  • Energy Harvesting
  • Power Management

Published Papers (2 papers)

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Research

Open AccessArticle
LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios
Sensors 2020, 20(15), 4336; https://doi.org/10.3390/s20154336 - 04 Aug 2020
Abstract
Extended Range Wide Area Network (LoRaWAN) has recently gained a lot of attention from the industrial and research community for dynamic Internet of Things (IoT) applications. IoT devices broadcast messages for neighbor gateways that deliver the message to the application server through an [...] Read more.
Extended Range Wide Area Network (LoRaWAN) has recently gained a lot of attention from the industrial and research community for dynamic Internet of Things (IoT) applications. IoT devices broadcast messages for neighbor gateways that deliver the message to the application server through an IP network. Hence, it is required to deploy LoRaWAN gateways, i.e., network planning, and optimization, in an environment while considering Operational Expenditure (OPEX) and Capital Expenditure (CAPEX) along with Quality of Service (QoS) requirements. In this article, we introduced a LoRaWAN gateway placement model for dynamic IoT applications called DPLACE. It divides the IoT devices into groups with some degree of similarity between them to allow for the placement of LoRaWAN gateways that can serve these devices in the best possible way. Specifically, DPLACE computes the number of LoRaWAN gateways based on the Gap statistics method. Afterward, DPLACE uses K-Means and Fuzzy C-means algorithms to calculate the LoRaWAN gateway placement. The simulations’ results proved the benefits of DPLACE compared to state-of-the-art LoRaWAN gateway placement models in terms of OPEX, CAPEX, and QoS. Full article
(This article belongs to the Special Issue LoRa Sensor Network)
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Open AccessArticle
Resource Allocation to Massive Internet of Things in LoRaWANs
Sensors 2020, 20(9), 2645; https://doi.org/10.3390/s20092645 - 06 May 2020
Abstract
A long-range wide area network (LoRaWAN) adapts the ALOHA network concept for channel access, resulting in packet collisions caused by intra- and inter-spreading factor (SF) interference. This leads to a high packet loss ratio. In LoRaWAN, each end device (ED) increments the SF [...] Read more.
A long-range wide area network (LoRaWAN) adapts the ALOHA network concept for channel access, resulting in packet collisions caused by intra- and inter-spreading factor (SF) interference. This leads to a high packet loss ratio. In LoRaWAN, each end device (ED) increments the SF after every two consecutive failed retransmissions, thus forcing the EDs to use a high SF. When numerous EDs switch to the highest SF, the network loses its advantage of orthogonality. Thus, the collision probability of the ED packets increases drastically. In this study, we propose two SF allocation schemes to enhance the packet success ratio by lowering the impact of interference. The first scheme, called the channel-adaptive SF recovery algorithm, increments or decrements the SF based on the retransmission of the ED packets, indicating the channel status in the network. The second approach allocates SF to EDs based on ED sensitivity during the initial deployment. These schemes are validated through extensive simulations by considering the channel interference in both confirmed and unconfirmed modes of LoRaWAN. Through simulation results, we show that the SFs have been adaptively applied to each ED, and the proposed schemes enhance the packet success delivery ratio as compared to the typical SF allocation schemes. Full article
(This article belongs to the Special Issue LoRa Sensor Network)
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