Analysis of RSSI Fingerprinting in LoRa Networks

Anjum, Mahnoor; Khan, Muhammad Abdullah; Hassan, Syed Ali; Mahmood, Aamir; Gidlund, Mikael

doi:10.1109/iwcmc.2019.8766468

Cited by 35 publications

(10 citation statements)

References 9 publications

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“…The main reason is the higher SF of E5, providing superior RSSI reduction of the path gain by being closer. The RSSI reduction for higher SFs is also evaluated in Reference [47]. The conclusion about propagation models for E5 corroborates the findings for E1.…”

Section: Results Presentation and Discussionsupporting

confidence: 66%

Temperature Impact in LoRaWAN—A Case Study in Northern Sweden

Bezerra

Åhlund

Saguna

et al. 2019

Sensors

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LoRaWAN has become popular as an IoT enabler. The low cost, ease of installation and the capacity of fine-tuning the parameters make this network a suitable candidate for the deployment of smart cities. In northern Sweden, in the smart region of Skellefteå, we have deployed a LoRaWAN to enable IoT applications to assist the lives of citizens. As Skellefteå has a subarctic climate, we investigate how the extreme changes in the weather happening during a year affect a real LoRaWAN deployment in terms of SNR, RSSI and the use of SF when ADR is enabled. Additionally, we evaluate two propagation models (Okumura-Hata and ITM) and verify if any of those models fit the measurements obtained from our real-life network. Our results regarding the weather impact show that cold weather improves the SNR while warm weather makes the sensors select lower SFs, to minimize the time-on-air. Regarding the tested propagation models, Okumura-Hata has the best fit to our data, while ITM tends to overestimate the RSSI values.

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Section: Results Presentation and Discussionsupporting

confidence: 66%

Temperature Impact in LoRaWAN—A Case Study in Northern Sweden

Bezerra

Åhlund

Saguna

et al. 2019

Sensors

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“…There is a large amount of literature that review different aspect of LPWAN technologies and Localization methods [41,[52][53][54]. The authors in [52] review the performance of LPWAN from various aspects (signal propagation, coverage, and energy conservation).…”

Section: Localization Accuracy Improvement Methodsmentioning

confidence: 99%

“…The authors in [53] compares the location estimation accuracy of TDoA-based and RSSI-based methods in a public outdoor LoRa network. The authors in [54] investigate the efficiency of fingerprinting using RSSI for location estimation.…”

Section: Localization Accuracy Improvement Methodsmentioning

confidence: 99%

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GNSS-Free Outdoor Localization Techniques for Resource-Constrained IoT Architectures: A Literature Review

et al. 2021

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Large-scale deployments of the Internet of Things (IoT) are adopted for performance improvement and cost reduction in several application domains. The four main IoT application domains covered throughout this article are smart cities, smart transportation, smart healthcare, and smart manufacturing. To increase IoT applicability, data generated by the IoT devices need to be time-stamped and spatially contextualized. LPWANs have become an attractive solution for outdoor localization and received significant attention from the research community due to low-power, low-cost, and long-range communication. In addition, its signals can be used for communication and localization simultaneously. There are different proposed localization methods to obtain the IoT relative location. Each category of these proposed methods has pros and cons that make them useful for specific IoT systems. Nevertheless, there are some limitations in proposed localization methods that need to be eliminated to meet the IoT ecosystem needs completely. This has motivated this work and provided the following contributions: (1) definition of the main requirements and limitations of outdoor localization techniques for the IoT ecosystem, (2) description of the most relevant GNSS-free outdoor localization methods with a focus on LPWAN technologies, (3) survey the most relevant methods used within the IoT ecosystem for improving GNSS-free localization accuracy, and (4) discussion covering the open challenges and future directions within the field. Some of the important open issues that have different requirements in different IoT systems include energy consumption, security and privacy, accuracy, and scalability. This paper provides an overview of research works that have been published between 2018 to July 2021 and made available through the Google Scholar database.

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“…Localization accuracy indoors/outdoors T [173,174] Applying of ML algorithms to identify missing values, predict the number of obstacles and distance between RX and TX [175,176] Seamless localization to provide smooth tracking both indoor and outdoor Connectivity solutions and propagation models for underground work sites T [177,178] Application requirement-based selection of connectivity solutions, developing of empirical and industrial environment-specific propagation models with on-body/off-body/body-to-body communications Power consumption and supply of a big amount of devices T [136,179] Energy harvesting approaches: harvesting from the sunlight, motions, temperature gradients, etc.…”

Section: Groups Refs Possible Solutionsmentioning

confidence: 99%

Wearables for Industrial Work Safety: A Survey

Svertoka

Saafi

Rusu-Casandra

et al. 2021

Sensors

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Today, ensuring work safety is considered to be one of the top priorities for various industries. Workplace injuries, illnesses, and deaths often entail substantial production and financial losses, governmental checks, series of dismissals, and loss of reputation. Wearable devices are one of the technologies that flourished with the fourth industrial revolution or Industry 4.0, allowing employers to monitor and maintain safety at workplaces. The purpose of this article is to systematize knowledge in the field of industrial wearables’ safety to assess the relevance of their use in enterprises as the technology maintaining occupational safety, to correlate the benefits and costs of their implementation, and, by identifying research gaps, to outline promising directions for future work in this area. We categorize industrial wearable functions into four classes (monitoring, supporting, training, and tracking) and provide a classification of the metrics collected by wearables to better understand the potential role of wearable technology in preserving workplace safety. Furthermore, we discuss key communication technologies and localization techniques utilized in wearable-based work safety solutions. Finally, we analyze the main challenges that need to be addressed to further enable and support the use of wearable devices for industrial work safety.

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Analysis of RSSI Fingerprinting in LoRa Networks

Cited by 35 publications

References 9 publications

Temperature Impact in LoRaWAN—A Case Study in Northern Sweden

Temperature Impact in LoRaWAN—A Case Study in Northern Sweden

GNSS-Free Outdoor Localization Techniques for Resource-Constrained IoT Architectures: A Literature Review

Wearables for Industrial Work Safety: A Survey

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