Low-Complexity Maximum-Likelihood Detector for IoT BLE Devices

Valencia-Velasco, Jose; Longoria-Gándara, O.; Aldana‐López, Rodrigo; Pizano-Escalante, Luis

doi:10.1109/jiot.2020.2966988

Cited by 7 publications

(2 citation statements)

References 16 publications

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“…RFID), and WiFi positioning systems. 4–10 This earlier phase is responsible for the emergence of new communications, networking and wireless protocols, machine-to-machine interfaces, energy efficiency of nodes, and energy harvesting technologies. Many prototypes and commercial products 11 have progressed and matured over the past years, and they can be purchased off-the-shelf and offer a turnkey solution for IoT applications.…”

Section: Introductionmentioning

confidence: 99%

Embedded intelligence and the data-driven future of application-specific Internet of Things for smart environments

Ang

Seng

2022

International Journal of Distributed Sensor Networks

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The advances and convergence in sensor technology, information and communication technology, and intelligent analytics have given rise to the Internet of Things or also known as the Internet of Everything or the Industrial Internet. The research and development works for the Internet of Things can be seen to have progressed in two main phases: (1) In the first phase, the earlier works for the Internet of Things focused on developing the building blocks and enabling technologies such as the sensors and RFID technologies, communications and wireless protocols, machine-to-machine interfaces, energy efficiency of nodes, and energy harvesting technologies, and (2) in the second phase, the latter and recent works focused on the addition of, and embedding value to application-specific Internet of Things using technologies for smart environments and applications such as intelligent analytics and machine learning, embedded vision and image processing, augmented reality, and autonomous systems. We associate the term of embedded intelligence and analytics with the data-driven future for application-specific Internet of Things. In this article, we give an introduction and review recent developments of embedded intelligence for the Internet of Things; the various embedded intelligence computational frameworks such as edge, fog, and cloud for the application-specific Internet of Things; and highlight the techniques, challenges, and opportunities for effective deployment of application-specific Internet of Things technology to address complex problems for various smart environments and applications.

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Section: Introductionmentioning

confidence: 99%

Embedded intelligence and the data-driven future of application-specific Internet of Things for smart environments

Ang

Seng

2022

International Journal of Distributed Sensor Networks

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“…Typically, the positioning techniques are based on the measurement of physical parameters such as the received signal strength (RSS), angle of arrival (AOA), Time of Flight (ToF), and Time Difference of Arrival (TDoA). Those measured values can be used to estimate the position using appropriate algorithms including fingerprinting, multilateration, and triangulation [29][30][31]. Moreover, indoor positioning techniques based on ultrasound transmissions and ToF measurements are considered an advantageous solution, because they provide high localization accuracy and do not require any fingerprinting.…”

Section: Introductionmentioning

confidence: 99%

Using Bluetooth Low Energy Technology to Perform ToF-Based Positioning

et al. 2021

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Many distributed systems that perform indoor positioning are often based on ultrasound signals and time domain measurements exchanged between low-cost ultrasound transceivers. Synchronization between transmitters and receivers is usually needed. In this paper, the use of BLE technology to achieve time synchronization by wirelessly triggered ultrasound transceivers is analyzed. Building on a previous work, the proposed solution uses BLE technology as communication infrastructure and achieves a level of synchronization compatible with Time of Flight (ToF)-based distance estimations and positioning. The proposed solution was validated experimentally. First, a measurement campaign of the time-synchronization delay for the adopted embedded platforms was carried out. Then, ToF-based distance estimations and positioning were performed. The results show that an accurate and low-cost ToF-based positioning system is achievable, using ultrasound transmissions and triggered by BLE RF transmissions.

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