Research Article
SWAN-Lake: Opportunistic Distributed Sensing for Android Smartphones
@INPROCEEDINGS{10.4108/eai.15-12-2016.2267797, author={Nicolae Vladimir Bozdog and Roshan Bharath Das and Aart van Halteren and Henri Bal}, title={SWAN-Lake: Opportunistic Distributed Sensing for Android Smartphones}, proceedings={11th International Conference on Body Area Networks}, publisher={ACM}, proceedings_a={BODYNETS}, year={2017}, month={4}, keywords={distributed sensing ad-hoc data sharing device-to-device communication mobile computing internet of things android}, doi={10.4108/eai.15-12-2016.2267797} }- Nicolae Vladimir Bozdog
Roshan Bharath Das
Aart van Halteren
Henri Bal
Year: 2017
SWAN-Lake: Opportunistic Distributed Sensing for Android Smartphones
BODYNETS
EAI
DOI: 10.4108/eai.15-12-2016.2267797
Abstract
Today, smart devices like mobile phones and fitness trackers have many sensors. Formatting, combining and querying sensor data from such devices can be a challenging and cumbersome task. In this paper we introduce SWAN-Lake, a distributed mobile framework that provides structured access to sensor data. SWAN-Lake provides access to local sensors as well as access to sensors of nearby devices. Here, we take a distributed approach by using device-to-device communication for exchanging sensor data between smartphones. We evaluate the performance and resource utilization using different sensing scenarios for our SWAN-Lake Android implementation. As a result, we show that our framework is energy efficient and performs well under high load.
