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 exible 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.
|Original language||English (US)|
|Title of host publication||IoT-Sys 2015 - Proceedings of the 2015 Workshop on IoT Challenges in Mobile and Industrial Systems|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||6|
|State||Published - May 18 2015|
|Event||1st Workshop on IoT Challenges in Mobile and Industrial Systems, IoT-Sys 2015 - Florence, Italy|
Duration: May 18 2015 → …
|Name||IoT-Sys 2015 - Proceedings of the 2015 Workshop on IoT Challenges in Mobile and Industrial Systems|
|Conference||1st Workshop on IoT Challenges in Mobile and Industrial Systems, IoT-Sys 2015|
|Period||5/18/15 → …|
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