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Open AccessJournal ArticleDOI

Performance Evaluation of Bluetooth Low Energy: A Systematic Review

TLDR
This work reviews the main methodologies adopted to investigate BLE performance, and analyzes throughput, maximum number of connectable sensors, power consumption, latency and maximum reachable range with the aim to identify what are the current limits of BLE technology.
Abstract
Small, compact and embedded sensors are a pervasive technology in everyday life for a wide number of applications (e.g., wearable devices, domotics, e-health systems, etc.). In this context, wireless transmission plays a key role, and among available solutions, Bluetooth Low Energy (BLE) is gaining more and more popularity. BLE merges together good performance, low-energy consumption and widespread diffusion. The aim of this work is to review the main methodologies adopted to investigate BLE performance. The first part of this review is an in-depth description of the protocol, highlighting the main characteristics and implementation details. The second part reviews the state of the art on BLE characteristics and performance. In particular, we analyze throughput, maximum number of connectable sensors, power consumption, latency and maximum reachable range, with the aim to identify what are the current limits of BLE technology. The main results can be resumed as follows: throughput may theoretically reach the limit of ~230 kbps, but actual applications analyzed in this review show throughputs limited to ~100 kbps; the maximum reachable range is strictly dependent on the radio power, and it goes up to a few tens of meters; the maximum number of nodes in the network depends on connection parameters, on the network architecture and specific device characteristics, but it is usually lower than 10; power consumption and latency are largely modeled and analyzed and are strictly dependent on a huge number of parameters. Most of these characteristics are based on analytical models, but there is a need for rigorous experimental evaluations to understand the actual limits.

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Citations
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CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud

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Challenges in Resource-Constrained IoT Devices: Energy and Communication as Critical Success Factors for Future IoT Deployment.

TL;DR: The main focus of this manuscript is to establish good practices for the design of IoT devices (i.e., smart devices) with a focus on two main design challenges: power and connectivity.
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Wireless and battery-free platforms for collection of biosignals.

TL;DR: This review summarizes current approaches to realize device architectures and highlights examples of current embodiments that quantitively expand sensing capabilities because of their use of wireless and battery-free architectures.
Journal ArticleDOI

Beyond beaconing: Emerging applications and challenges of BLE

TL;DR: In this article, the authors comprehensively survey state-of-the-art applications built with BLE, obstacles to adoption of BLE in new application areas, and current solutions from academia and industry that further expand the capabilities of Bluetooth Low Energy (BLE).
References
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TL;DR: The present paper analyzes in detail the potential of 5G technologies for the IoT, by considering both the technological and standardization aspects and illustrates the massive business shifts that a tight link between IoT and 5G may cause in the operator and vendors ecosystem.

IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs): Overview, Assumptions, Problem Statement, and Goals

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Journal ArticleDOI

Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology

TL;DR: Experimental results are provided that complement the theoretical and simulation findings, and implementation constraints that may reduce BLE performance are indicated.
Journal ArticleDOI

An Indoor Location-Aware System for an IoT-Based Smart Museum

TL;DR: An indoor location-aware architecture able to enhance the user experience in a museum and relies on a wearable device that combines image recognition and localization capabilities to automatically provide the users with cultural contents related to the observed artworks.
Proceedings ArticleDOI

Experiments on local positioning with Bluetooth

TL;DR: The design and implementation of the Bluetooth local positioning application based on received power levels, which is converted to distance estimates according to a simple propagation model, and the extended Kalman filter computes a 3D position estimate on the basis of distance estimates.
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Trending Questions (1)
What are the limitation of Bluetooth low energy?

The limitations of Bluetooth Low Energy include limited throughput (~100 kbps), maximum reachable range of a few tens of meters, and a maximum number of nodes in the network usually lower than 10.