Low end extension for Bluetooth

Honkanen, M.; Lappetelainen, A.; Kivekas, K.

doi:10.1109/rawcon.2004.1389107

Cited by 23 publications

(14 citation statements)

References 4 publications

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“…Originated from Bluetooth Low End Extension (LEE) [1], this technology was intermediately published as Wibree [2], and recently incorporated in the Version 4.0 of Bluetooth Core Specification [3] as an enhanced feature of Bluetooth. BLE widens the functionality and applicability of classic Bluetooth, served as an ideal choice for a large scope of sensor-like products (e.g.…”

Section: Introductionmentioning

confidence: 99%

Modeling Neighbor Discovery in Bluetooth Low Energy Networks

Liu

Chen

2012

IEEE Commun. Lett.

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In this letter, an analytical model is proposed for 3-channel-based neighbor discovery in Bluetooth Low Energy (BLE) networks. The model can be used to determine some important performance metrics, such as average latency or average energy consumption during the course of discovering neighbors. Since intermittent connections are frequently encountered in practical scenarios of BLE, the modeling results can provide a beneficial guidance to customize advertising or scanning behavior towards user desired performance.Index Terms-Bluetooth Low Energy, neighbor discovery, wireless body area networks.

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Section: Introductionmentioning

confidence: 99%

Modeling Neighbor Discovery in Bluetooth Low Energy Networks

Liu

Chen

2012

IEEE Commun. Lett.

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“…The peripheral module reads the value of the both the moisture and temperature sensors and inserts the data into the BLE advertisement report. Therefore, there is no need to establish a connection between the Bluetooth module and the master (iPad/iPhone) because there is no connection needed for advertisement [4][5]. This is important because the current drawn by the module is minimized.…”

Section: System Designmentioning

confidence: 99%

Smart brief monitoring system for assisted living

Mohebbi

Florian

Jackson

et al. 2016

2016 IEEE International Conference on Consumer Electronics (ICCE)

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A system for monitoring the moisture level and temperature of an adult disposable brief has been designed and tested. The system uses an inexpensive (< $0.05) disposable moisture sensor combined with a re-usable temperature sensor and a Bluetooth Low-Energy transceiver module costing less than $15. The battery lifetime using the CR2032 coin cell is greater than 3 years while sampling data at 10s intervals. This sensor data can be used for monitoring, alerting, statistical analysis, and potentially reducing the incidence of infections. The data can be monitored and processed locally or stored on a server to be analyzed remotely. The prototyped devices were tested and shown to detect as little as 10 mL of tap water when poured into the smart brief. The temperature resolution of less than 0.25° F was observed and a wireless range of 20 m indoors and 100 m outdoors was measured.

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“…As a result, designers are looking to provide more energy efficient hardware and software. Hardware techniques are focusing on optimizing energy efficiency of displays [8], processors [9], communication hardware [10], software transformation and scaling [11], and energy efficient data aggregation and communication [12].…”

Section: A Energy Managementmentioning

confidence: 99%

Understanding energy consumption of sensor enabled applications on mobile phones

Crk

Albinali²,

Gniady³

et al. 2009

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-Recent research in ubiquitous and mobile computing uses mobile phones and wearable accelerometers to monitor individuals' physical activities for personalized and proactive health care. The goal of this project is to measure and reduce the energy demand placed on mobile phones that monitor individuals' physical activities for extended periods of time with limited access to battery recharging and mobile phone reception. Many issues must be addressed before mobile phones become a viable platform for remote health monitoring, including: security, reliability, privacy, and, most importantly, energy. Mobile phones are battery-operated, making energy a critical resource that must be carefully managed to ensure the longest running time before the battery is depleted. In a sense, all other issues are secondary, since the mobile phone will simply not function without energy. In this project, we therefore focus on understanding the energy consumption of a mobile phone that runs physical activity monitoring applications and consider ways to reduce its energy consumption.

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Low end extension for Bluetooth

Cited by 23 publications

References 4 publications

Modeling Neighbor Discovery in Bluetooth Low Energy Networks

Modeling Neighbor Discovery in Bluetooth Low Energy Networks

Smart brief monitoring system for assisted living

Understanding energy consumption of sensor enabled applications on mobile phones

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