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Testbed implementation and refinement of a range-based localization algorithm for wireless sensor networks

Published: 25 October 2006 Publication History

Abstract

Many wireless sensor networks (WSN) applications require a more or less accurate degree of knowledge of the sensing nodes' positions. This information can be even crucial in rescue scenarios, battlefield surveillance, object movement tracking and so on. Furthermore, some routing protocols for WSNs may require geographic data to perform handshakes and forwarding operations. In our paper, we deploy and study ROCRSSI+, a refinement of a localization algorithm based on received signal strength measures. We then evaluate the algorithm by simulation and by implementation on an indoor testbed, identifying which impairments could hamper its functioning, and illustrating how to compensate for them.

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  • (2023)Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and RequirementsIEEE Access10.1109/ACCESS.2023.324077511(10053-10091)Online publication date: 2023
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  1. Testbed implementation and refinement of a range-based localization algorithm for wireless sensor networks

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    cover image ACM Other conferences
    Mobility '06: Proceedings of the 3rd international conference on Mobile technology, applications & systems
    October 2006
    408 pages
    ISBN:1595935193
    DOI:10.1145/1292331
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 25 October 2006

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    MC06: The Mobility Conference
    October 25 - 27, 2006
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    • (2023)Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and RequirementsIEEE Access10.1109/ACCESS.2023.324077511(10053-10091)Online publication date: 2023
    • (2022)RSSI Based Improved Weighted Centroid Localization Method Using Indirect Transmission and Error Estimation2022 IEEE International Conference on Data Science and Information System (ICDSIS)10.1109/ICDSIS55133.2022.9915992(1-6)Online publication date: 29-Jul-2022
    • (2019)On Data Sovereignty in Cloud-Based Computation Offloading for Smart Cities ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2018.28864106:3(4521-4535)Online publication date: Jun-2019
    • (2019)Accurate and Lightweight Range-Free Localization for Wireless Sensor NetworksPervasive Systems, Algorithms and Networks10.1007/978-3-030-30143-9_20(256-272)Online publication date: 27-Nov-2019
    • (2018)Implementation of an indoor localisation algorithm for Internet of ThingsFuture Generation Computer Systems10.1016/j.future.2018.01.056Online publication date: Feb-2018
    • (2017)Indoor Localisation of Wireless Sensor Nodes Towards Internet of ThingsProcedia Computer Science10.1016/j.procs.2017.05.299109(92-99)Online publication date: 2017
    • (2016)Best Practice in RSS Measurements and RangingIEEE Communications Surveys & Tutorials10.1109/COMST.2016.255345218:4(2662-2686)Online publication date: 1-Oct-2016
    • (2014)CCA-MAP and iCCA-MAPInternational Journal of Autonomous and Adaptive Communications Systems10.1504/IJAACS.2014.0580147:1/2(21-48)Online publication date: 1-Nov-2014
    • (2014)Path loss and multipath effects in a real world indoor localization scenario2014 11th Workshop on Positioning, Navigation and Communication (WPNC)10.1109/WPNC.2014.6843300(1-7)Online publication date: Mar-2014
    • (2014)Experimental evaluation of the spatial error distribution of indoor localization algorithms2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)10.1109/UPINLBS.2014.7033709(44-53)Online publication date: Nov-2014
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