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      Wireless Positioning in IoT: A Look at Current and Future Trends

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          Abstract

          Connectivity solutions for the Internet of Things (IoT) aim to support the needs imposed by several applications or use cases across multiple sectors, such as logistics, agriculture, asset management, or smart lighting. Each of these applications has its own challenges to solve, such as dealing with large or massive networks, low and ultra-low latency requirements, long battery life requirements (i.e., more than ten years operation on battery), continuously monitoring of the location of certain nodes, security, and authentication. Hence, a part of picking a connectivity solution for a certain application depends on how well its features solve the specific needs of the end application. One key feature that we see as a need for future IoT networks is the ability to provide location-based information for large-scale IoT applications. The goal of this paper is to highlight the importance of positioning features for IoT applications and to provide means of comparing and evaluating different connectivity protocols in terms of their positioning capabilities. Our compact and unified analysis ends with several case studies, both simulation-based and measurement-based, which show that high positioning accuracy on low-cost low-power devices is feasible if one designs the system properly.

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          Low Power Wide Area Networks: An Overview

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            A Survey of Selected Indoor Positioning Methods for Smartphones

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              Robustness, Security and Privacy in Location-Based Services for Future IoT: A Survey

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                30 July 2018
                August 2018
                : 18
                : 8
                : 2470
                Affiliations
                [1 ]Laboratory of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 3, Tampere 33720, Finland; elena-simona.lohan@ 123456tut.fi
                [2 ]Wirepas, Visiokatu 4, Tampere 33720, Finland; ville.kaseva@ 123456wirepas.com
                Author notes
                Author information
                https://orcid.org/0000-0003-2279-4297
                https://orcid.org/0000-0003-1718-6924
                Article
                sensors-18-02470
                10.3390/s18082470
                6111536
                30061535
                add65c45-45ce-47fa-9b7f-77685e20124a
                © 2018 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 (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 May 2018
                : 25 July 2018
                Categories
                Article

                Biomedical engineering
                internet of things (iot),wireless positioning,indoor location
                Biomedical engineering
                internet of things (iot), wireless positioning, indoor location

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