Capturing Sensor Data from Mobile Phones using Global Sensor Network Middleware
Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi,, Dimitrios Georgakopoulos

TL;DR
This paper presents DAM4GSN, a middleware architecture combining Android sensors with the Global Sensor Network platform to facilitate participatory sensing and sensor data collection from mobile phones.
Contribution
It introduces a novel integration of Android sensors with GSN middleware, including a prototype app and middleware component, to simplify sensor data capture and processing.
Findings
System effectively captures sensor data from Android devices.
Performance evaluation shows acceptable power consumption.
Prototype demonstrates feasibility of participatory sensing using mobile phones.
Abstract
Mobile phones play increasingly bigger role in our everyday lives. Today, most smart phones comprise a wide variety of sensors which can sense the physical environment. The Internet of Things vision encompasses participatory sensing which is enabled using mobile phones based sensing and reasoning. In this research, we propose and demonstrate our DAM4GSN architecture to capture sensor data using sensors built into the mobile phones. Specifically, we combine an open source sensor data stream processing engine called 'Global Sensor Network (GSN)' with the Android platform to capture sensor data. To achieve this goal, we proposed and developed a prototype application that can be installed on Android devices as well as a AndroidWrapper as a GSN middleware component. The process and the difficulty of manually connecting sensor devices to sensor data processing middleware systems are examined.…
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