Maximized Effective Transmission Rate Model for Advanced Neighbor Discovery Process in Bluetooth Low Energy 5.0

Shan, Gaoyang; Roh, Byeong‐hee

doi:10.1109/jiot.2022.3152513

Cited by 8 publications

(1 citation statement)

References 28 publications

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“…Contrary to previous probabilistic solutions, the proposed solution is based on the Chinese remainder theorem to find the optimal NDP delay and the related average energy consumption. More recent works aim to evaluate and improve the advanced NDP introduced in Bluetooth 5 by finding the trade-off between reducing collisions and minimizing energy consumption [15,16,18].…”

Section: Background and Related Workmentioning

confidence: 99%

WUBBLE: Energy Efficient BLE Neighborhood Discovery Leveraging Wake-Up Radio

Djidi,

Sambo,

Gautier

et al. 2023

Lecture Notes in Computer Science

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In wireless sensor networks, much energy is wasted during connecting and control processes. This is particularly true for the neighborhood discovery process carried out in Bluetooth Low Energy (BLE) before the communications between devices. However, the fixed duration of this process has a critical energy cost when the number of neighbors is low or when only a few neighbors are required by the application. In order to address this issue, a novel protocol called WUBBLE is proposed to leverage wake-up radio technology to start and end the discovery process. Wake-up radio enables additional communications between devices with an ultra-low energy overhead. WUBBLE is validated by combining analytical analysis and experimental measurements, and results show that half of the energy could be gained to discover 90% of the neighbors.

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Section: Background and Related Workmentioning

confidence: 99%

WUBBLE: Energy Efficient BLE Neighborhood Discovery Leveraging Wake-Up Radio

Djidi,

Sambo,

Gautier

et al. 2023

Lecture Notes in Computer Science

View full text Add to dashboard Cite

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From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring

Gao,

Xu,

Chang

et al. 2024

Advanced Science

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The rapid development of wearable sweat sensors has demonstrated their potential for continuous, non‐invasive disease diagnosis and health monitoring. Emerging energy harvesters capable of converting various environmental energy sources—biomechanical, thermal, biochemical, and solar—into electrical energy are revolutionizing power solutions for wearable devices. Based on self‐powered technology, the integration of the energy harvesters with wearable sweat sensors can drive the device for biosensing, signal processing, and data transmission. As a result, self‐powered sweat sensors are able to operate continuously without external power or charging, greatly facilitating the development of wearable electronics and personalized healthcare. This review focuses on the recent advances in self‐powered sweat sensors for personalized healthcare, covering sweat sensors, energy harvesters, energy management, and applications. The review begins with the foundations of wearable sweat sensors, providing an overview of their detection methods, materials, and wearable devices. Then, the working mechanism, structure, and a characteristic of different types of energy harvesters are discussed. The features and challenges of different energy harvesters in energy supply and energy management of sweat sensors are emphasized. The review concludes with a look at the future prospects of self‐powered sweat sensors, outlining the trajectory of the field and its potential to flourish.

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