A Multimodal Localization Framework Design for IoT Applications

Aernouts, Michiel; Lemić, Filip; Moons, Bart; Famaey, Jeroen; Hoebeke, Jeroen; Weyn, Maarten; Berkvens, Rafael

doi:10.3390/s20164622

Cited by 8 publications

(5 citation statements)

References 26 publications

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“…In this section, we elaborate on the opportunities of combining LPWAN, GNSS and LEO technologies into a single solution, aiming to achieve a better overall positioning performance. A summary is shown in Figure 18 method, depending on the context and constraints of the active wireless technology, as demonstrated in [79]. For example, a UE is accurately located on a construction site using TDoA in a private LoRa network, while during transport, RSS-based localization in a public Sigfox network is used to save energy.…”

Section: Interoperabilitymentioning

confidence: 99%

A Survey on IoT Positioning Leveraging LPWAN, GNSS, and LEO-PNT

Janssen

Koppert²,

Berkvens

et al. 2023

IEEE Internet Things J.

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Location data is an important piece of information in many Internet of Things (IoT) applications. Global Navigation Satellite Systems (GNSS) have been established as the standard for large-scale localization. However, the rapidly increasing need to locate IoT devices in recent years has exposed several shortcomings of traditional GNSS approaches. These limitations include the weak signal propagation in indoor and dense environments, the inability to calculate or obtain a location remotely, and a high energy consumption. Therefore, several industries have shown an increasing demand for alternative and innovative positioning solutions that are more suited in an IoT context. Hence, we conduct a survey on state-of-the-art, large-scale and energy-efficient positioning techniques for IoT applications. More specifically, we analyze the performance of terrestrial-based Low Power Wide Area Network (LPWAN) techniques, novel GNSS solutions, and innovative positioning techniques leveraging Low Earth Orbit (LEO) satellite constellations. A comparison is made in terms of 16 dimensions including energy consumption, positioning accuracy, coverage, and scalability. The analysis shows that interoperability between technologies is key to enable energy-efficient communication and positioning applications in the emerging market of satellite IoT.

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Section: Interoperabilitymentioning

confidence: 99%

A Survey on IoT Positioning Leveraging LPWAN, GNSS, and LEO-PNT

Janssen

Koppert²,

Berkvens

et al. 2023

IEEE Internet Things J.

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“…In [20], a localization approach for devices with single-chip multi-RAT implementation was proposed. The advantage is that the cost of the devices is not increased significantly.…”

Section: Related Work 21 Iot Localization Systemsmentioning

confidence: 99%

Proposal for a Localization System for an IoT Ecosystem

2021

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In the last decade, positioning using wireless signals has gained a lot of attention since it could open new opportunities for service providers. Localization is important, especially in indoor environments, where the widely used global navigation satellite systems (GNSS) signals suffer from high signal attenuation and multipath propagation, resulting in poor accuracy or a loss of positioning service. Moreover, in an Internet of things (IoT) environment, the implementation of GNSS receivers into devices may result in higher demands on battery capacity, as well as increased cost of the hardware itself. Therefore, alternative localization systems that are based on wireless signals for the communication of IoT devices are gaining a lot of attention. In this paper, we provide a design of an IoT localization system, which consists of multiple localization modules that can be utilized for the positioning of IoT devices that are connected thru various wireless technologies. The proposed system can currently perform localization based on received signals from LoRaWAN, ZigBee, Wi-Fi, UWB and cellular technologies. The implemented pedestrian dead reckoning algorithm can process the data measured by a mobile device that is equipped with inertial sensors to construct a radio map and thus help with the deployment of the positioning services based on a fingerprinting approach.

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“…This was made possible by the continuously declining price of electronics and ICs (integrated circuits) and by the apparition on the market of low-cost sensors, that can be used in portable or energy-constrained devices [29]. Another supporting element is the IoT vision that is gaining increased attention nowadays, smart cities seeming to be some of its prime beneficiaries, besides domains such as agriculture, energy, and localization [1,2,30,40,46]. Although the research works are diverse, almost all of them advocate the deployment of dense, high resolution monitoring systems for the assessment of ambient parameters within urban areas.…”

Section: Low-cost Air Quality Measurement Approachesmentioning

confidence: 99%

Development and Analysis of Low-Cost IoT Sensors for Urban Environmental Monitoring

Muntean¹,

Moiş²,

Folea³

2021

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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The accelerated pace of urbanization is having a major impact over the world’s environment. Although urban dwellers have higher living standards and can access better public services as compared to their rural counterparts, they are usually exposed to poor environmental conditions such as air pollution and noise. In order for municipalities and citizens to mitigate the negative effects of pollution, the monitoring of certain parameters, such as air quality and ambient sound levels, both in indoor and outdoor locations, has to be performed. The current paper presents a complete solution that allows the monitoring of ambient parameters such as Volatile Organic Compounds, temperature, relative humidity, pressure, and sound intensity levels both in indoor and outdoor spaces. The presented solution comprises of low-cost, easy to deploy, wireless sensors and a cloud application for their management and for storing and visualizing the recorded data.

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A Multimodal Localization Framework Design for IoT Applications

Cited by 8 publications

References 26 publications

A Survey on IoT Positioning Leveraging LPWAN, GNSS, and LEO-PNT

A Survey on IoT Positioning Leveraging LPWAN, GNSS, and LEO-PNT

Proposal for a Localization System for an IoT Ecosystem

Development and Analysis of Low-Cost IoT Sensors for Urban Environmental Monitoring

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