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2015
ACM

BearLoc: A Composable Distributed Framework for Indoor Localization Systems

8 years 7 months ago
BearLoc: A Composable Distributed Framework for Indoor Localization Systems
Many indoor localization algorithms have been proposed to enable location-based applications in indoor environments. However, these systems are monolithic and not componentbased. 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. Categories and Subject Descriptors D.2.11 [Software Engineering]: Software Architectures— Patterns (e.g., client/server, pipeline, blackboard), Domainspecific architectures; C.2.4 [Computer-Communication Networks]: Distributed Systems—Distributed applications; D.2.12 [Software Engineering]: Interoperability—Distributed objects Keywords Localization; Framework; Composability
Kaifei Chen, Siyuan He, Bei Di Chen, John Kolb, Ra
Added 14 Apr 2016
Updated 14 Apr 2016
Type Journal
Year 2015
Where MOBISYS
Authors Kaifei Chen, Siyuan He, Bei Di Chen, John Kolb, Randy H. Katz, David E. Culler
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