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Dependable Wireless Communication and Localization in the Internet of Things

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Mission-Oriented Sensor Networks and Systems: Art and Science

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 164))

Abstract

Wireless technologies suffer from physical and man-made impairments (e.g., multipath propagation and interference from competing transmissions, as well as from the effect of temperature variations and other environmental properties): this impairs the reliability, timeliness, and availability of IoT systems. At the same time, we see a wave of new safety-critical IoT applications that require performance guarantees. This chapter surveys methods to increase the dependability of the IoT, specifically focusing, first, on increasing the frequency bandwidth from narrowband, over wideband, towards ultra-wideband to better handle multipath effects and interference. Second, the chapter focuses on increasing the adaptability such that a networked system can compensate disturbances also dynamically, eventually striving for cognitive abilities. A distinguishing feature of this chapter is its comprehensive treatment of dependability issues across multiple layers, from signal processing, over microwave engineering, and to networking.

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Notes

  1. 1.

    The AWGN is characterized by a flat double-sided power spectral density of \(N_0/2\).

  2. 2.

    The RF operating frequency of the transceiver is switched between a fixed set of frequency values using a swept LO.

  3. 3.

    Second layer in the OSI reference model.

  4. 4.

    BLE is marketed as Bluetooth Smart and was originally introduced as Wibree by Nokia. It is merged by the Bluetooth special interest group (SIG) into the Bluetooth Core Specification v4.0.

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Acknowledgements

This work was performed within the LEAD-Project “Dependable Internet of Things in Adverse Environments” funded by Graz University of Technology, Austria, and partly within the “Kalium Home Monitoring” project funded by the Austrian Research Promotion Agency (FFG), Austria.

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Authors and Affiliations

  1. Institute of Technical Informatics, Graz University of Technology, Graz, Austria

    Bernhard Großwindhager, Carlo Alberto Boano & Kay Römer

  2. Signal Processing and Speech Communication Laboratory, Graz University of Technology, Graz, Austria

    Michael Rath & Klaus Witrisal

  3. Institute for Microwave and Photonic Engineering, Graz University of Technology, Graz, Austria

    Mustafa S. Bakr, Philipp Greiner, Fabrizio Gentili, Jasmin Grosinger & Wolfgang Bösch

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  1. Bernhard Großwindhager
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  2. Michael Rath
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Correspondence to Kay Römer .

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  1. Wireless Sensor and Mobile Ad-hoc Network Applied Cryptography Engineering (WiSeMAN-ACE) Research Lab, Department of Electrical Engineering and Computer Science, Frank H. Dotterweich College of Engineering, Texas A&M University-Kingsville, Kingsville, TX, USA

    Habib M. Ammari

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Großwindhager, B. et al. (2019). Dependable Wireless Communication and Localization in the Internet of Things. In: Ammari, H. (eds) Mission-Oriented Sensor Networks and Systems: Art and Science. Studies in Systems, Decision and Control, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-319-92384-0_7

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