Abstract
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.
Highlights
Intelligent systems are usually included in environments where sensing and recognition capabilities are required, and the collection, processing, changing and sharing of the available context information
This paper introduces and discusses the empirical models for the upper limit of the transmission latency from end-to-end in a multi-hop wireless network when working with Asynchronous Connectionless Links (ACL) in both, park and sniff low power modes
The electronic systems for intelligent environment applications are usually embedded, adaptive, as well as sensitive and responsive to the presence of living beings in such a way that the technology integrates into environments smoothly
Summary
Intelligent systems are usually included in environments where sensing and recognition capabilities are required, and the collection, processing, changing and sharing of the available context information. Such environments represent a new information technology paradigm and they are called intelligent environments or ambient intelligence. They consist of the integration of information technologies into everyday objects in order to improve the quality of life. Many devices are usually added to intelligent environments Such environments include electronic systems to interconnect nodes and communicate the measured data. Every intelligent device should be able to transmit and receive the context information that is collected by the sensors
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