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BearLoc: A Composable Distributed Framework for Indoor Localization Systems

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David E. CullerAuthors Info & Claims

IoT-Sys '15: Proceedings of the 2015 Workshop on IoT challenges in Mobile and Industrial Systems

Pages 7 - 12

https://doi.org/10.1145/2753476.2753478

Published: 18 May 2015 Publication History

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Abstract

Many indoor localization algorithms have been proposed to enable location-based applications in indoor environments. However, these systems are monolithic and not component-based. We present BearLoc, a distributed modular framework for indoor localization systems that provides (1) natural development abstractions for sensor, algorithm, and application components, and (2) easy and flexible component composition. We demonstrate the merits of BearLoc with an example use case. Our evaluation shows we can reduce developer lines of code by 60% while introducing acceptable network delay overhead.

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Cited By

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Hesslein NWesselhöft MHinckeldeyn JKreutzfeldt J(2021)Industrial Indoor Localization: Improvement of Logistics Processes Using Location Based ServicesAdvances in Automotive Production Technology – Theory and Application10.1007/978-3-662-62962-8_53(460-467)Online publication date: 2-Jun-2021
https://doi.org/10.1007/978-3-662-62962-8_53
Benson KBouloukakis GGrant CIssarny VMehrotra SMoscholios IVenkatasubramanian NPierre GFerreira PShrira L(2018)FireDeXProceedings of the 19th International Middleware Conference10.1145/3274808.3274830(279-292)Online publication date: 26-Nov-2018
https://dl.acm.org/doi/10.1145/3274808.3274830

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BearLoc: A Composable Distributed Framework for Indoor Localization Systems
1. Software and its engineering

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Published In

IoT-Sys '15: Proceedings of the 2015 Workshop on IoT challenges in Mobile and Industrial Systems

May 2015

64 pages

ISBN:9781450335027

DOI:10.1145/2753476

Program Chairs:
Simone Cirani
Università degli Studi di Parma, Italy
,
Mischa Dohler
King's College London, United Kingdom
,
Gianluigi Ferrari
Università degli Studi di Parma, Italy
,
Luigi Alfredo Grieco
Politecnico di Bari, Italy
,
Marco Picone
Università degli Studi di Parma, Italy
,
Thomas Watteyne
Inria, France

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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Association for Computing Machinery

New York, NY, United States

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Published: 18 May 2015

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National Science Foundation
STARnet

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MobiSys'15

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SIGMOBILE

MobiSys'15: The 13th Annual International Conference on Mobile Systems, Applications, and Services

May 18, 2015

Florence, Italy

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Hesslein NWesselhöft MHinckeldeyn JKreutzfeldt J(2021)Industrial Indoor Localization: Improvement of Logistics Processes Using Location Based ServicesAdvances in Automotive Production Technology – Theory and Application10.1007/978-3-662-62962-8_53(460-467)Online publication date: 2-Jun-2021
https://doi.org/10.1007/978-3-662-62962-8_53
Benson KBouloukakis GGrant CIssarny VMehrotra SMoscholios IVenkatasubramanian NPierre GFerreira PShrira L(2018)FireDeXProceedings of the 19th International Middleware Conference10.1145/3274808.3274830(279-292)Online publication date: 26-Nov-2018
https://dl.acm.org/doi/10.1145/3274808.3274830

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Recommendations

Assuring Location Estimation Accuracy of Anchor-Free Mobile Localization in Wireless Sensor Networks

Reference Anchor Selection and Global Optimized Solution for DV-Hop Localization in Wireless Sensor Networks

Spinning beacons for precise indoor localization

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