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Open AccessArticle

Low Power Multi-Hop Networking Analysis in Intelligent Environments

Electronic Technology Department, University of the Basque Country, Bilbao 48013, Spain
Author to whom correspondence should be addressed.
Academic Editors: Stefan Bosse, Ansgar Trächtler, Klaus-Dieter Thoben, Berend Denkena and Dirk Lehmhus
Sensors 2017, 17(5), 1153;
Received: 7 April 2017 / Revised: 6 May 2017 / Accepted: 15 May 2017 / Published: 19 May 2017
(This article belongs to the Special Issue System-Integrated Intelligence and Intelligent Systems)
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. View Full-Text
Keywords: ambient intelligence; ACL; Bluetooth; delay; empirical model; intelligent environment; latency; multi-hop; scatternet ambient intelligence; ACL; Bluetooth; delay; empirical model; intelligent environment; latency; multi-hop; scatternet
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Etxaniz, J.; Aranguren, G. Low Power Multi-Hop Networking Analysis in Intelligent Environments. Sensors 2017, 17, 1153.

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