socialAWARE : mobile wireless sensing network

Abstract

This thesis presents a software tool for Android smartphones called socialAWARE, a mobile wireless sensing network. socialAWARE uses zeroconf networking to discover other mobile devices and their connection information on a local area network. It uses built-in mobile sensors to collect data and transmit it in real time using CoAP’s machine-to-machine protocol. SocialAWARE aims at helping users to quickly deploy a wireless sensor network without an emphasis in configuration or technical background.

socialAWARE is implemented as a plug-in for AWARE framework [1], which uses diverse protocols to enhance its capabilities. Together, socialAWARE plug-in and AWARE allows for data collection and real-time sharing of sensor data between different devices (LAMP server, smartwatch, Android, iOS). After the implementation of the plug-in, the performance of the protocols were evaluated by conducting several experiments. We also compare CoAP with MQTT with respect to their technical performance in terms of latency, throughput, and network usage. Based on the experimental results, we discuss the advantages and limitations of the system. Finally, we conclude this thesis by discussing a number of improvements for future iterations of socialAWARE, based on the literature survey and experiment results.