A practical study on Bluetooth Low Energy (BLE) throughput

Dian, F. John; Yousefi, Amirhossein; Lim, Sungjoon

doi:10.1109/iemcon.2018.8614763

Cited by 38 publications

(15 citation statements)

References 10 publications

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“…Indicate is similar to notify with notification acknowledgement to GATT server. Notifications or indications or explicit read requests can be used to move data from GATT server to client [8].…”

Section: Ble Data Exchange Methodsmentioning

confidence: 99%

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25 Years of Bluetooth Technology

2019

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Bluetooth technology started off as a wireless, short-range cable replacement technology but it has undergone significant developments over the last two decades. Bluetooth radios are currently embedded in almost all computing devices including personal computers, smart phones, smart watches, and even micro-controllers. For many of us, Bluetooth is an essential technology that we use every day. We provide an insight into the history of Bluetooth and its significant design developments over the last 25 years. We also discuss related issues (including security) and Bluetooth as a driving technology for the Internet of Things (IoT). Finally, we also present recent research results obtained with Bluetooth technology in various application areas.

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Section: Ble Data Exchange Methodsmentioning

confidence: 99%

“…Advertising, scanning, and initiating modes are defined in the discovery process to search BLE devices. The scanner searches only for the advertiser while the initiator requests a connection with the advertiser [8].…”

Section: Of 25mentioning

confidence: 99%

25 Years of Bluetooth Technology

2019

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“…1 [10]. It also supports Bluetooth version 4.2, which requires little energy to operate, ensuring a good transmission speed (theoretically 221.7 kbps kb/s [11]). As a result of the ability for the Smartbond card to use Bluetooth, it was chosen to develop an application that would test its communication and operation.…”

Section: System Descriptionmentioning

confidence: 99%

Monitoring the Covid-19 Diffusion by Combining Wearable Biosensors and Smartphones.

Manekiya¹,

Donelli²

2021

PIER M

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The management of the current pandemic COVID-19 has been challenging and complex. The main and only successes have been achieved with non-pharmacological interventions (NPI). When tracking, monitoring, and early intervention at home have been delivered to citizens, the contagion can be controlled. In the current pandemic, various methods have been applied to track the COVID-19 virus, such as Korea's mobile phone tracking system. We propose a method based on a wearable bracelet prototype able to detect biomedical parameters, which can be very useful to monitor the virus infection when the patient develops symptoms, such as a high temperature or low blood oxygenation. In particular, the prototype bracelet can measure the blood oxygenation using an infrared optical sensor and measure the temperature of the patient. The bracelet can record the identification number of other bracelet devices that came in proximity. The bracelet is equipped with a built-in low power Bluetooth, aimed to send the recorded data to a smartphone or another device in order to connect them with proper geo-localization and to the web. The identification number of the patient device can be used to trace the number of people and whom he has been in contact with, immediately by the sanitary authorities. Moreover, the bracelet can be used for monitoring the patient's health at home, avoiding hospital's overcrowding. The proposed system not only can effectively localize the trace path of patients positive to the COVID-19 virus or to other respiratory diseases, but also can provide an evolution of the patient symptoms and monitor people in-home quarantine. The system is simple and could be an efficient tool to track any other future pandemics.

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“…However, IoT nodes often leverage low-power wireless communication technologies like BLE or Zigbee, which only achieve a maximum of sub-Mbps throughput under practical conditions [55], to transmit data due to strict energy constraints. For example, [6,7,21] reported BLE throughputs of 221Kbps, 341Kbps and 724Kbps for BLE 4.2, BLE 5.0 indoor environment, and BLE 5.0 body area network, respectively. Even for cellular networks using 4G LTE, the average throughput can drop to 300 Kbps [36].…”

Section: Synthetic Trace-driven Evaluationmentioning

confidence: 99%

Low-latency speculative inference on distributed multi-modal data streams

Huang

Risinger

et al. 2021

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services

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While multi-modal deep learning is useful in distributed sensing tasks like human tracking, activity recognition, and audio and video analysis, deploying state-of-the-art multi-modal models in a wirelessly networked sensor system poses unique challenges. The data sizes for different modalities can be highly asymmetric (e.g., video vs. audio), and these differences can lead to significant delays between streams in the presence of wireless dynamics. Therefore, a slow stream can significantly slow down a multi-modal inference system in the cloud, leading to either increased latency (when blocked by the slow stream) or degradation in inference accuracy (if inference proceeds without waiting). In this paper, we introduce speculative inference on multi-modal data streams to adapt to these asymmetries across modalities. Rather than blocking inference until all sensor streams have arrived and been temporally aligned, we impute any missing, corrupt, or partially-available sensor data, then generate a speculative inference using the learned models and imputed data. A rollback module looks at the class output of speculative inference and determines whether the class is sufficiently robust to incomplete data to accept the result; if not, we roll back the inference and update the model's output. We implement the system in three multi-modal application scenarios using public datasets. The experimental results show that our system achieves 7 − 128× latency speedup with the same accuracy as six state-of-the-art methods. CCS CONCEPTS• Computer systems organization → Cloud computing.

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A practical study on Bluetooth Low Energy (BLE) throughput

Cited by 38 publications

References 10 publications

25 Years of Bluetooth Technology

25 Years of Bluetooth Technology

Monitoring the Covid-19 Diffusion by Combining Wearable Biosensors and Smartphones.

Low-latency speculative inference on distributed multi-modal data streams

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