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      Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology

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          Abstract

          Bluetooth Low Energy (BLE) is an emerging low-power wireless technology developed for short-range control and monitoring applications that is expected to be incorporated into billions of devices in the next few years. This paper describes the main features of BLE, explores its potential applications, and investigates the impact of various critical parameters on its performance. BLE represents a trade-off between energy consumption, latency, piconet size, and throughput that mainly depends on parameters such as connInterval and connSlaveLatency. According to theoretical results, the lifetime of a BLE device powered by a coin cell battery ranges between 2.0 days and 14.1 years. The number of simultaneous slaves per master ranges between 2 and 5,917. The minimum latency for a master to obtain a sensor reading is 676 μs, although simulation results show that, under high bit error rate, average latency increases by up to three orders of magnitude. The paper provides experimental results that complement the theoretical and simulation findings, and indicates implementation constraints that may reduce BLE performance.

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          Wireless home automation networks: A survey of architectures and technologies

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            The Bluetooth radio system

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              Reliability and Availability Evaluation of Wireless Sensor Networks for Industrial Applications

              Wireless Sensor Networks (WSN) currently represent the best candidate to be adopted as the communication solution for the last mile connection in process control and monitoring applications in industrial environments. Most of these applications have stringent dependability (reliability and availability) requirements, as a system failure may result in economic losses, put people in danger or lead to environmental damages. Among the different type of faults that can lead to a system failure, permanent faults on network devices have a major impact. They can hamper communications over long periods of time and consequently disturb, or even disable, control algorithms. The lack of a structured approach enabling the evaluation of permanent faults, prevents system designers to optimize decisions that minimize these occurrences. In this work we propose a methodology based on an automatic generation of a fault tree to evaluate the reliability and availability of Wireless Sensor Networks, when permanent faults occur on network devices. The proposal supports any topology, different levels of redundancy, network reconfigurations, criticality of devices and arbitrary failure conditions. The proposed methodology is particularly suitable for the design and validation of Wireless Sensor Networks when trying to optimize its reliability and availability requirements.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                Molecular Diversity Preservation International (MDPI)
                1424-8220
                2012
                29 August 2012
                : 12
                : 9
                : 11734-11753
                Affiliations
                [1 ] Universitat Politècnica de Catalunya/Fundació i2Cat, C/Esteve Terradas, 7, Castelldefels 08860, Spain
                [2 ] Universitat Politècnica de Catalunya/Fundació i2Cat, C/Jordi Girona, 1-3, Barcelona 08034, Spain; E-Mails: joaquim.oller@ 123456entel.upc.edu (J.O.); josep.paradells@ 123456entel.upc.edu (J.P.)
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: carlesgo@ 123456entel.upc.edu ; Tel.: +34-93-413-7206; Fax: +34-93-413-7007.
                Article
                sensors-12-11734
                10.3390/s120911734
                3478807
                23112680
                60dab234-3b0d-4024-ae1c-a26f96a15011
                © 2012 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 26 June 2012
                : 24 July 2012
                : 14 August 2012
                Categories
                Article

                Biomedical engineering
                bluetooth low energy,internet of things,sensor networks
                Biomedical engineering
                bluetooth low energy, internet of things, sensor networks

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