Article
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Preserved in Portico This version is not peer-reviewed
Low Power Multi-Hop Networking Analysis in Intelligent Environments
Version 1
: Received: 7 April 2017 / Approved: 7 April 2017 / Online: 7 April 2017 (04:32:44 CEST)
A peer-reviewed article of this Preprint also exists.
Etxaniz, J.; Aranguren, G. Low Power Multi-Hop Networking Analysis in Intelligent Environments. Sensors 2017, 17, 1153. Etxaniz, J.; Aranguren, G. Low Power Multi-Hop Networking Analysis in Intelligent Environments. Sensors 2017, 17, 1153.
Abstract
Intelligent systems are driven by the latest technological advances in so different areas 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 on 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.
Keywords
ambient intelligence; ACL; bluetooth; delay, empirical model; intelligent environment; latency; multi-hop; scatternet
Subject
Engineering, Electrical and Electronic Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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