Feasibility of LoRa for Smart Home Indoor Localization

Kim, Kyungki; Li, Sining; Heydariaan, Milad; Smaoui, Nour; Gnawali, Omprakash; Suh, Wonho; Suh, Min Jae; Kim, Jung In

doi:10.3390/app11010415

Cited by 40 publications

(20 citation statements)

References 45 publications

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“…As long-range wireless communication systems, real-time transmission of measurement signals obtained using sensors has various applications in terms of smart farming [ 54 ], disaster alerts [ 55 ], water monitoring [ 56 ], food traceability [ 57 ], health diagnosis of social infrastructure such as bridges and tunnels [ 58 ], and smart homes [ 59 ]. Low-power long-range communication devices are increasingly anticipated for application for various Internet of things (IoT) devices and communication systems [ 60 ].…”

Section: Related Studiesmentioning

confidence: 99%

Development of Drone-Mounted Multiple Sensing System with Advanced Mobility for In Situ Atmospheric Measurement: A Case Study Focusing on PM2.5 Local Distribution

Madokoro

Kiguchi

Nagayoshi

et al. 2021

Sensors

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This study was conducted using a drone with advanced mobility to develop a unified sensor and communication system as a new platform for in situ atmospheric measurements. As a major cause of air pollution, particulate matter (PM) has been attracting attention globally. We developed a small, lightweight, simple, and cost-effective multi-sensor system for multiple measurements of atmospheric phenomena and related environmental information. For in situ local area measurements, we used a long-range wireless communication module with real-time monitoring and visualizing software applications. Moreover, we developed four prototype brackets with optimal assignment of sensors, devices, and a camera for mounting on a drone as a unified system platform. Results of calibration experiments, when compared to data from two upper-grade PM2.5 sensors, demonstrated that our sensor system followed the overall tendencies and changes. We obtained original datasets after conducting flight measurement experiments at three sites with differing surrounding environments. The experimentally obtained prediction results matched regional PM2.5 trends obtained using long short-term memory (LSTM) networks trained using the respective datasets.

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Section: Related Studiesmentioning

confidence: 99%

Development of Drone-Mounted Multiple Sensing System with Advanced Mobility for In Situ Atmospheric Measurement: A Case Study Focusing on PM2.5 Local Distribution

Madokoro

Kiguchi

Nagayoshi

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Few smartphone applications involve real-time user localization, which is especially imperative for elders and physically disabled people. Moreover, the localization permits smart devices to perform elementary tasks and executes complex commands through flexible interactions with user [79].…”

Section: Smart Home and Smart Infrastructurementioning

confidence: 99%

Survey of Localization for Internet of Things Nodes: Approaches, Challenges and Open Issues

2021

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With exponential growth in the deployment of Internet of Things (IoT) devices, many new innovative and real-life applications are being developed. IoT supports such applications with the help of resource-constrained fixed as well as mobile nodes. These nodes can be placed in anything from vehicles to the human body to smart homes to smart factories. Mobility of the nodes enhances the network coverage and connectivity. One of the crucial requirements in IoT systems is the accurate and fast localization of its nodes with high energy efficiency and low cost. The localization process has several challenges. These challenges keep changing depending on the location and movement of nodes such as outdoor, indoor, with or without obstacles and so on. The performance of localization techniques greatly depends on the scenarios and conditions from which the nodes are traversing. Precise localization of nodes is very much required in many unique applications. Although several localization techniques and algorithms are available, there are still many challenges for the precise and efficient localization of the nodes. This paper classifies and discusses various state-of-the-art techniques proposed for IoT node localization in detail. It includes the different approaches such as centralized, distributed, iterative, ranged based, range free, device-based, device-free and their subtypes. Furthermore, the different performance metrics that can be used for localization, comparison of the different techniques, some prominent applications in smart cities and future directions are also covered.

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“…Finally, Kim et al 87 have evaluated the performance of LoRa as a home‐level indoor localization system, where the location of objects in a home with electronic devices, heavy furniture, and light walls is traced. The feasibility of utilizing LoRa for indoor localization in residential apartment units with only three static LoRa anchors has been investigated.…”

Section: Review Of Lpwan‐based Modelsmentioning

confidence: 99%

The role of low‐power wide‐area network technologies in Internet of Things: A systematic and comprehensive review

Mousavi

Khademzadeh

Rahmani

2021

Int J Communication

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Summary With the quick progress of wireless technologies, the Internet of Things (IoT) has been recognized as the main part of daily people's lives that makes their life more convenient by utilizing a diverse range of smart devices. Over the last decade, various useful and forthcoming application fields have been developed by taking advantage of the IoT concept. In this regard, LPWAN technologies such as LoRa, Sigfox, and NB‐IoT play an important role in advancing. These technologies are suitable wireless communication protocols for battery‐powered IoT objects that enable long‐distance communication in low‐power devices at a low operation cost. Some review papers have investigated the LPWAN technology in the IoT from different perspectives. However, the lack of detailed and systematic study outlining the role of these technologies in different IoT applications is very clear. Consequently, this gap inspired us to write the current study. The current works are classified into three main classes, including smart city, home automation, and smart healthcare. Besides, the involved models in the smart city group are categorized into five subgroups, including smart monitoring, smart metering, air pollution, smart agriculture, and smart parking. The selected works are reviewed, and their main features, including main idea, coverage range, sensor types, processing board, frequency band, communication protocols, power consumption analysis, and achievement, are specified. Generally, our main aim is to describe the challenging problems of applying LPWAN to various IoT applications, specify the efficient models, and recommend some hints for upcoming studies.

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Feasibility of LoRa for Smart Home Indoor Localization

Cited by 40 publications

References 45 publications

Development of Drone-Mounted Multiple Sensing System with Advanced Mobility for In Situ Atmospheric Measurement: A Case Study Focusing on PM2.5 Local Distribution

Development of Drone-Mounted Multiple Sensing System with Advanced Mobility for In Situ Atmospheric Measurement: A Case Study Focusing on PM2.5 Local Distribution

Survey of Localization for Internet of Things Nodes: Approaches, Challenges and Open Issues

The role of low‐power wide‐area network technologies in Internet of Things: A systematic and comprehensive review

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