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Journal ArticleDOI

Monitoring of Large-Area IoT Sensors Using a LoRa Wireless Mesh Network System: Design and Evaluation

TL;DR: This is the first academic study discussing LoRa mesh networking in detail and evaluating its performance via real experiments, and it is shown that in urban areas, LoRa requires dense deployment of LoRa gateways to ensure that indoor LoRa devices can successfully transfer data back to remote GWs.
Abstract: Although many techniques exist to transfer data from the widely distributed sensors that make up the Internet of Things (IoT) (e.g., using 3G/4G networks or cables), these methods are associated with prohibitively high costs, making them impractical for real-life applications. Recently, several emerging wireless technologies have been proposed to provide long-range communication for IoT sensors. Among these, LoRa has been examined for long-range performance. Although LoRa shows good performance for long-range transmission in the countryside, its radio signals can be attenuated over distance, and buildings, trees, and other radio signal sources may interfere with the signals. Our observations show that in urban areas, LoRa requires dense deployment of LoRa gateways (GWs) to ensure that indoor LoRa devices can successfully transfer data back to remote GWs. Wireless mesh networking is a solution for increasing communication range and packet delivery ratio (PDR) without the need to install additional GWs. This paper presents a LoRa mesh networking system for large-area monitoring of IoT applications. We deployed 19 LoRa mesh networking devices over an $800\,\,\text {m} \times 600$ m area on our university campus and installed a GW that collected data at 1-min intervals. The proposed LoRa mesh networking system achieved an average 88.49% PDR, whereas the star-network topology used by LoRa achieved only 58.7% under the same settings. To the best of our knowledge, this is the first academic study discussing LoRa mesh networking in detail and evaluating its performance via real experiments.
Citations
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Journal ArticleDOI
TL;DR: This article uses a linearly varying-frequency down chirp and its cyclic shifts to generate the second set of orthonormal basis functions in the proposed scheme, named slope-shift-keying LoRa (SSK-LoRa) modulation, which is shown to outperform the state-of-the-art LoRa-based modulation schemes.
Abstract: LoRa, a low-power long-range physical-layer communication method, is one of the emerging technologies in low-power wide-area networks (LPWANs). In LoRa, a linearly varying-frequency up chirp and its cyclic shifts act as an orthonormal basis set for message representation. The number of orthonormal basis functions dictates the achievable bit rate of a LoRa system. This article aims to increase the achievable data rate of a conventional LoRa system by adding a set of new orthonormal basis functions to the existing set. Specifically, we use a linearly varying-frequency down chirp and its cyclic shifts to generate the second set of orthonormal basis functions in the proposed scheme, named slope-shift-keying LoRa (SSK-LoRa) modulation. We also develop both low-complexity optimum coherent and noncoherent detection algorithms for the proposed SSK-LoRa modulation. We then obtain closed-form analytical and tight approximations for the bit and symbol error probabilities of noncoherent detection in a Rayleigh fading environment. Our proposed SSK-LoRa scheme is shown to outperform the state-of-the-art LoRa-based modulation schemes.

49 citations

Journal ArticleDOI
26 Jul 2019-Sensors
TL;DR: The use of a LoRaWAN fog computing-based architecture is proposed for providing connectivity to IoT nodes deployed in a campus of the University of A Coruña (UDC), Spain, and the accurate results obtained by the planning simulator in the largest scenario ever built for it are presented.
Abstract: A smart campus is an intelligent infrastructure where smart sensors and actuators collaborate to collect information and interact with the machines, tools, and users of a university campus. As in a smart city, a smart campus represents a challenging scenario for Internet of Things (IoT) networks, especially in terms of cost, coverage, availability, latency, power consumption, and scalability. The technologies employed so far to cope with such a scenario are not yet able to manage simultaneously all the previously mentioned demanding requirements. Nevertheless, recent paradigms such as fog computing, which extends cloud computing to the edge of a network, make possible low-latency and location-aware IoT applications. Moreover, technologies such as Low-Power Wide-Area Networks (LPWANs) have emerged as a promising solution to provide low-cost and low-power consumption connectivity to nodes spread throughout a wide area. Specifically, the Long-Range Wide-Area Network (LoRaWAN) standard is one of the most recent developments, receiving attention both from industry and academia. In this article, the use of a LoRaWAN fog computing-based architecture is proposed for providing connectivity to IoT nodes deployed in a campus of the University of A Coruna (UDC), Spain. To validate the proposed system, the smart campus has been recreated realistically through an in-house developed 3D Ray-Launching radio-planning simulator that is able to take into consideration even small details, such as traffic lights, vehicles, people, buildings, urban furniture, or vegetation. The developed tool can provide accurate radio propagation estimations within the smart campus scenario in terms of coverage, capacity, and energy efficiency of the network. The results obtained with the planning simulator can then be compared with empirical measurements to assess the operating conditions and the system accuracy. Specifically, this article presents experiments that show the accurate results obtained by the planning simulator in the largest scenario ever built for it (a campus that covers an area of 26,000 m 2 ), which are corroborated with empirical measurements. Then, how the tool can be used to design the deployment of LoRaWAN infrastructure for three smart campus outdoor applications is explained: a mobility pattern detection system, a smart irrigation solution, and a smart traffic-monitoring deployment. Consequently, the presented results provide guidelines to smart campus designers and developers, and for easing LoRaWAN network deployment and research in other smart campuses and large environments such as smart cities.

48 citations


Cites background from "Monitoring of Large-Area IoT Sensor..."

  • ...Other interesting paper is [65], which details the design of a LoRa mesh network system within a campus....

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Journal ArticleDOI
TL;DR: An innovative LoRaWAN range extender is described, and its integration in the infrastructure of industrial Internet of Things (IIoT)-enabled industrial wireless networks is presented, thus avoiding to tradeoff the highest data rates against an increased sensitivity.
Abstract: The LoRaWAN technology, an example of low power wide area network, is considered a possible IoT-derived solution for realizing private cellular (single-hop) communications in the industrial domain. However, despite LoRaWAN promises long range and dense environments with many obstacles (as the industrial ones), it may suffer from coverage issue. Additionally, the inverse relationship between data rates and range may be unacceptable for many industrial applications. In this article, an innovative LoRaWAN range extender (based on an enhanced LoRaWAN node) is described, and its integration in the infrastructure of industrial Internet of Things (IIoT)-enabled industrial wireless networks is presented. A frame relay strategy is suggested, thus avoiding to tradeoff the highest data rates against an increased sensitivity. The feasibility of the solution is formally verified and the features of the realized proof-of-concept prototype, based on commercially available hardware, are discussed. The experimental results, obtained with a purposely designed test bench, show the effectiveness of the proposed approach. In particular, the range extender is transparent for legacy LoRaWAN networks as confirmed by correct relaying of uplink and downlink for different types of LoRaWAN message.

48 citations


Cites background from "Monitoring of Large-Area IoT Sensor..."

  • ...Some works describe possible enhancements for supporting multi-hop topology [24]–[26]....

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Journal ArticleDOI
TL;DR: A vision of the Internet of Things that will be the main force driving the comprehensive digital revolution in the future is provided and the challenges of existing common communication technologies in IoT systems are indicated and future research directions of IoT are indicated.
Abstract: Communication technologies are developing very rapidly and achieving many breakthrough results. The advent of 5th generation mobile communication networks, the so-called 5G, has become one of the most exciting and challenging topics in the wireless study area. The power of 5G enables it to connect to hundreds of billions of devices with extreme-high throughput and extreme-low latency. The 5G realizing a true digital society where everything can be connected via the Internet, well known as the Internet of Things (IoT). IoT is a technology of technologies where humans, devices, software, solutions, and platforms can connect based on the Internet. The formation of IoT technology leads to the birth of a series of applications and solutions serving humanity, such as smart cities, smart agriculture, smart retail, intelligent transportation systems, and IoT ecosystems. Although IoT is considered a revolution in the evolution of the Internet, it still faces a series of challenges such as saving energy, security, performance, and QoS support. In this study, we provide a vision of the Internet of Things that will be the main force driving the comprehensive digital revolution in the future. The communication technologies in the IoT system are discussed comprehensively and in detail. Furthermore, we also indicated indepth challenges of existing common communication technologies in IoT systems and future research directions of IoT. We hope the results of this work can provide a vital guide for future studies on communication technologies for IoT in 5G.

47 citations

Journal ArticleDOI
TL;DR: This paper investigates how blockchain and IoT together can improve existing smart grid ecosystem toward facilitation of better monitoring services and concludes that with certain changes in current blockchain technology, it can surely encompass the direction of enhanced monitoring of IoT based smart grid.
Abstract: Smart grids are the backbone of existing energy production and supply scenario in today’s society. Gradual increasing demand of energy has certainly emphasized the significance and provenance of reliability and predictive aspects over smart grids. Conventional smart grids under perform in terms of self-aware behavior, especially in delay tolerance, energy requirement, and dissemination of monitoring notions. Highly distributed geographical distribution sometimes cause problems for smart grids to provide necessary services to both the consumers and prosumers. Internet of Things (IoT) is thus integrated with smart grids to facilitate distributed monitoring services for smooth running of the smart grid. Although, IoT has remarkably supported smart grids to perform smarter than ever, it lacks in security, decentralization, transparency, and trust-less approaches. Thus, blockchain is envisaged to leverage minimizing such gaps and to pave new horizon in the blockchain-IoT enabled smart grid monitoring. In this paper, we investigate how blockchain and IoT together can improve existing smart grid ecosystem toward facilitation of better monitoring services. We do this via a Systematic Literature Review. Firstly, we present preliminaries behind the study, followed by in-depth review of different domains of IoT-based smart grid monitoring. Next, we discuss various attributes of blockchain-IoT derived smart grid management schemes. Then, we discuss possible opportunities and benefits of using blockchain with respect to blockchain-IoT based smart grid monitoring. Finally, we illustrate open research challenges and future directions in the aforementioned aspects. The article concludes that with certain changes in current blockchain technology, it can surely encompass the direction of enhanced monitoring of IoT based smart grid.

45 citations

References
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Proceedings ArticleDOI
N. Abramson1
17 Nov 1970
TL;DR: A remote-access computer system under development as part of a research program to investigate the use of radio communications for computer-computer and console-computer links and a novel form of random-access radio communications developed for use within THE ALOHA SYSTEM is described.
Abstract: In September 1968 the University of Hawaii began work on a research program to investigate the use of radio communications for computer-computer and console-computer links. In this report we describe a remote-access computer system---THE ALOHA SYSTEM---under development as part of that research program and discuss some advantages of radio communications over conventional wire communications for interactive users of a large computer system. Although THE ALOHA SYSTEM research program is composed of a large number of research projects, in this report we shall be concerned primarily with a novel form of random-access radio communications developed for use within THE ALOHA SYSTEM.

2,297 citations


"Monitoring of Large-Area IoT Sensor..." refers methods in this paper

  • ...The PDR could fall even further if nodes are allowed to send data actively (such as in the ALOHA protocol in LoRaWAN approach)....

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  • ...If nodes are allowed to send data actively, without waiting for a data request from the GW, as in the ALOHA LoRaWAN approach, packet collision may decrease PDR in the event that many nodes send data simultaneously....

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  • ...The design and drawbacks of LoRaWAN are similar to those of the ALOHA [17] protocol, as there is no mechanism to arbitrate access to a shared wireless frequency....

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Journal ArticleDOI
09 Sep 2016-Sensors
TL;DR: An overview of LoRa and an in-depth analysis of its functional components are provided and some possible solutions for performance enhancements are proposed.
Abstract: LoRa is a long-range, low-power, low-bitrate, wireless telecommunications system, promoted as an infrastructure solution for the Internet of Things: end-devices use LoRa across a single wireless hop to communicate to gateway(s), connected to the Internet and which act as transparent bridges and relay messages between these end-devices and a central network server. This paper provides an overview of LoRa and an in-depth analysis of its functional components. The physical and data link layer performance is evaluated by field tests and simulations. Based on the analysis and evaluations, some possible solutions for performance enhancements are proposed.

1,126 citations


"Monitoring of Large-Area IoT Sensor..." refers methods or result in this paper

  • ...The time-related performance of LoRa and LoRaWAN was also evaluated [16] to determine the uncertainty of schedule to transmission and long-term clock stability....

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  • ...In a study of how SF affects receiver sensitivity in LoRa and LoRaWAN [13], researchers used a Semtech SX1276 Mbed shield as the end device and a Cisco 910 industrial router as the GW....

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  • ...This result indicates that the one-hop LoRa network does not perform well for indoor nodes, which again confirmed the analysis of [11]–[13]....

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  • ...In a study of how SF affects receiver sensitivity in LoRa and LoRaWAN [13], researchers used a Semtech SX1276 Mbed...

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  • ...We can compare this drawback to singlehop LoRaWAN systems, which suffer from low PDR with a high density of LoRa devices, as mentioned in [13]....

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Journal ArticleDOI
TL;DR: This article introduces a new type of wireless connectivity, characterized by low-rate, long-range transmission technologies in the unlicensed sub-gigahertz frequency bands, used to realize access networks with star topology referred to as low-power WANs (LPWANs).
Abstract: Connectivity is probably the most basic building block of the IoT paradigm. Up to now, the two main approaches to provide data access to things have been based on either multihop mesh networks using short-range communication technologies in the unlicensed spectrum, or long-range legacy cellular technologies, mainly 2G/GSM/GPRS, operating in the corresponding licensed frequency bands. Recently, these reference models have been challenged by a new type of wireless connectivity, characterized by low-rate, long-range transmission technologies in the unlicensed sub-gigahertz frequency bands, used to realize access networks with star topology referred to as low-power WANs (LPWANs). In this article, we introduce this new approach to provide connectivity in the IoT scenario, discussing its advantages over the established paradigms in terms of efficiency, effectiveness, and architectural design, particularly for typical smart city applications.

842 citations


"Monitoring of Large-Area IoT Sensor..." refers background in this paper

  • ...Increasing the spreading factor (SF) of LoRa PHY to 12 can significantly extend the communication range by increasing the receiver sensitivity [9], but the drawback is that doing so can lower the data throughput rate and cause more severe data collision due to the longer times required for transmission....

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Posted Content
TL;DR: In this paper, the authors introduce a new approach to provide connectivity in the IoT scenario, discussing its advantages over the established paradigms in terms of efficiency, effectiveness, and architectural design, in particular for the typical Smart Cities applications.
Abstract: Connectivity is probably the most basic building block of the Internet of Things (IoT) paradigm. Up to know, the two main approaches to provide data access to the \emph{things} have been based either on multi-hop mesh networks using short-range communication technologies in the unlicensed spectrum, or on long-range, legacy cellular technologies, mainly 2G/GSM, operating in the corresponding licensed frequency bands. Recently, these reference models have been challenged by a new type of wireless connectivity, characterized by low-rate, long-range transmission technologies in the unlicensed sub-GHz frequency bands, used to realize access networks with star topology which are referred to a \emph{Low-Power Wide Area Networks} (LPWANs). In this paper, we introduce this new approach to provide connectivity in the IoT scenario, discussing its advantages over the established paradigms in terms of efficiency, effectiveness, and architectural design, in particular for the typical Smart Cities applications.

748 citations

Proceedings ArticleDOI
01 Dec 2015
TL;DR: This work studies the coverage of the recently developed LoRa LPWAN technology via real-life measurements and presents a channel attenuation model derived from the measurement data that can be used to estimate the path loss in 868 MHz ISM band in an area similar to Oulu, Finland.
Abstract: In addition to long battery life and low cost, coverage is one of the most critical performance metrics for the low power wide area networks (LPWAN). In this work we study the coverage of the recently developed LoRa LPWAN technology via real-life measurements. The experiments were conducted in the city of Oulu, Finland, using the commercially available equipment. The measurements were executed for cases when a node located on ground (attached on the roof rack of a car) or on water (attached to the radio mast of a boat) reporting their data to a base station. For a node operating in the 868 MHz ISM band using 14 dBm transmit power and the maximum spreading factor, we have observed the maximum communication range of over 15 km on ground and close to 30 km on water. Besides the actual measurements, in the paper we also present a channel attenuation model derived from the measurement data. The model can be used to estimate the path loss in 868 MHz ISM band in an area similar to Oulu, Finland.

593 citations


"Monitoring of Large-Area IoT Sensor..." refers background in this paper

  • ...To test long-range outdoor transmission, Petäjäjärvi and colleagues [14] installed a LoRa node on the roof rack of a car and another on the radio mast of a boat....

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