Performance analysis of an Bluetooth Low Energy sensor system

Mackensen, Elke; Lai, Matthias; Wendt, Thomas M.

doi:10.1109/idaacs-sws.2012.6377634

Cited by 26 publications

(9 citation statements)

References 3 publications

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“…d event (n))I sl (12) In Equation 4.5.1, N c can be set to the number of connection events for the master (N c = N c,ma ) or for the slave (N c = N c,sl ). Q event can be calculated according to Section 4.2.…”

Section: Connected Modementioning

confidence: 99%

Energy Modeling for the Bluetooth Low Energy Protocol

Kindt

Yunge

Diemer³

et al. 2020

ACM Trans. Embed. Comput. Syst.

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Bluetooth Low Energy (BLE) is a wireless protocol well suited for ultralow-power sensors running on small batteries. It is optimized for low power communication and is not compatible with the original Bluetooth, referred to as Bluetooth Basic Rate (BR)/Enhanced Data Rate (EDR). BLE is described as a new protocol in the official Bluetooth 4.0 specification. It reuses many parts of the Bluetooth BR hardware and software stack to enable dual mode devices supporting Bluetooth BR/EDR and BLE. To design energy-efficient devices, the protocol provides a number of parameters that need to be optimized within an energy, latency and throughput design space. To minimize power consumption, the protocol parameters have to be optimized for a given application. Therefore, an energy-model that can predict the energy consumption of a BLE-based wireless device for different parameter value settings, is needed. As BLE differs from Bluetooth BR significantly, models for Bluetooth BR cannot be easily applied to the BLE protocol. Since the last one year, there have been a couple of proposals on energy models for BLE. However, none of them can model all the operating modes of the protocol. This paper presents a precise energy model of the BLE protocol, that allows the computation of a device's power consumption in all possible operating modes. To the best of our knowledge, our proposed model is not only one of the most accurate ones known so far (because it accounts for all protocol parameters), but it is also the only one that models all the operating modes of BLE. Furthermore, we present a sensitivity analysis of the different parameters on the energy consumption and evaluate the accuracy of the model using both discrete event simulation and actual measurements. Based on this model, guidelines for system designers are presented, that help choosing the right parameters for optimizing the energy consumption for a given application.

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Section: Connected Modementioning

confidence: 99%

Energy Modeling for the Bluetooth Low Energy Protocol

Kindt

Yunge

Diemer³

et al. 2020

ACM Trans. Embed. Comput. Syst.

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“…These include the device's transmit rate and power, its Universally Unique Identifier (UUID) as well as the communication protocol. Depending on the device and its configuration, Bluetooth beacons may continuously operate even for a few years [20].…”

Section: Methodsmentioning

confidence: 99%

Dynamic Signal Strength Mapping and Analysis by Means of Mobile Geographic Information System

Kulawiak¹,

Wycinka²

2017

Metrology and Measurement Systems

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Bluetooth beacons are becoming increasingly popular for various applications such as marketing or indoor navigation. However, designing a proper beacon installation requires knowledge of the possible sources of interference in the target environment. While theoretically beacon signal strength should decay linearly with log distance, on-site measurements usually reveal that noise from objects such as Wi-Fi networks operating in the vicinity significantly alters the expected signal range. The paper presents a novel mobile Geographic Information System for measurement, mapping and local as well as online storage of Bluetooth beacon signal strength in semireal time. For the purpose of on-site geovisual analysis of the signal, the application integrates a dedicated interpolation algorithm optimized for low-power devices. The paper discusses the performance and quality of the mapping algorithms in several different test environments.

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“…The main difference with respect to the classic Bluetooth is the communication paradigm, which has a lower overhead for establishing and maintaining connections with devices. With respect to Classic Bluetooth (Basis Rate, BR, and Enhanced Data Rate, EDR), the BLE has a much smaller memory requirement in the microcontroller stack [6].…”

Section: State Of the Artmentioning

confidence: 99%

Dual-protocol support for Bluetooth LE devices

Marinoni

Franchino

Cesarini

et al. 2015

2015 IEEE 13th International Conference on Industrial Informatics (INDIN)

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Low energy consumption is one of the primary issues that have to be addressed in body area networks to prevent frequent battery recharges in the nodes. Such networks are being increasingly used to acquire sensory data that need to be processed in real-time. The Bluetooth Low Energy (BLE) protocol is an attractive solution for implementing personal area networks with reduced energy consumption, also because it is supported by consumer devices such as tablets and smart phones; however, it cannot guarantee a bounded delay for managing real-time traffic. This paper overcomes such a limitation by presenting a bandwidth sharing mechanism that allows partitioning the available network bandwidth between the BLE and another user-defined protocol built on top of the raw radio transceiver. Experimental results are also reported to characterize the timing behavior of the dual protocol on a specific platform.

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Performance analysis of an Bluetooth Low Energy sensor system

Cited by 26 publications

References 3 publications

Energy Modeling for the Bluetooth Low Energy Protocol

Energy Modeling for the Bluetooth Low Energy Protocol

Dynamic Signal Strength Mapping and Analysis by Means of Mobile Geographic Information System

Dual-protocol support for Bluetooth LE devices

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