Bluetooth Performance Analysis in Wireless Personal Area Networks

Hipólito, Juan Iván Nieto; Arballo, Norma Candolfi; Michel-Macarty, J. A.; Garcia, Elitania Jiménez

doi:10.1109/cerma.2009.48

Cited by 9 publications

(7 citation statements)

References 6 publications

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“…It included the time delay of the packet, and the delays due to encapsulation/de-encapsulation, signal propagation and retransmission. Then, an empirical model was proposed to foresee the FTD in a piconet without theoretical support [ 32 ].…”

Section: Home Automation Systemsmentioning

confidence: 99%

Bluetooth Low Power Modes Applied to the Data Transportation Network in Home Automation Systems

Etxaniz

Aranguren

2017

Sensors

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Even though home automation is a well-known research and development area, recent technological improvements in different areas such as context recognition, sensing, wireless communications or embedded systems have boosted wireless smart homes. This paper focuses on some of those areas related to home automation. The paper draws attention to wireless communications issues on embedded systems. Specifically, the paper discusses the multi-hop networking together with Bluetooth technology and latency, as a quality of service (QoS) metric. Bluetooth is a worldwide standard that provides low power multi-hop networking. It is a radio license free technology and establishes point-to-point and point-to-multipoint links, known as piconets, or multi-hop networks, known as scatternets. This way, many Bluetooth nodes can be interconnected to deploy ambient intelligent networks. This paper introduces the research on multi-hop latency done with park and sniff low power modes of Bluetooth over the test platform developed. Besides, an empirical model is obtained to calculate the latency of Bluetooth multi-hop communications over asynchronous links when links in scatternets are always in sniff or the park mode. Smart home devices and networks designers would take advantage of the models and the estimation of the delay they provide in communications along Bluetooth multi-hop networks.

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Section: Home Automation Systemsmentioning

confidence: 99%

Bluetooth Low Power Modes Applied to the Data Transportation Network in Home Automation Systems

Etxaniz

Aranguren

2017

Sensors

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“…Then, an empirical model was proposed to foresee the FTD in a piconet without theoretical support [39]. …”

Section: Intelligent Systems At Homementioning

confidence: 99%

Low Power Multi-Hop Networking Analysis in Intelligent Environments

Etxaniz

Aranguren

2017

Sensors

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Intelligent systems are driven by the latest technological advances in many different areas such as sensing, embedded systems, wireless communications or context recognition. This paper focuses on some of those areas. Concretely, the paper deals with wireless communications issues in embedded systems. More precisely, the paper combines the multi-hop networking with Bluetooth technology and a quality of service (QoS) metric, the latency. Bluetooth is a radio license-free worldwide communication standard that makes low power multi-hop wireless networking available. It establishes piconets (point-to-point and point-to-multipoint links) and scatternets (multi-hop networks). As a result, many Bluetooth nodes can be interconnected to set up ambient intelligent networks. Then, this paper presents the results of the investigation on multi-hop latency with park and sniff Bluetooth low power modes conducted over the hardware test bench previously implemented. In addition, the empirical models to estimate the latency of multi-hop communications over Bluetooth Asynchronous Connectionless Links (ACL) in park and sniff mode are given. The designers of devices and networks for intelligent systems will benefit from the estimation of the latency in Bluetooth multi-hop communications that the models provide.

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“…There is research work that analyses the performance of Bluetooth 2.0. Empirical characterisations [2] of real BT 2.0 devices do not offer any analytical explanation of the measurements. Conversely, analytical models [3] focus on optimising the EDR feature without providing any experimental evaluation.…”

Section: Introductionmentioning

confidence: 98%