Design insights for a mobile based sensor application framework: for aiding platform independent algorithm design

Abstract

Modern day smart phones are powerful connected sensory and computation nodes for crowd-sensing, urban-sensing and personal-sensing applications. We have developed an Internet of Things (IoT) platform that can seamlessly handle data from the wide variety of sensors available on mobile phones. It can store and run aggregated analysis on the data in real-time. However, mobile phones themselves are a very heterogeneous set of devices. Each phone comes with a different array of sensors with varying sensitivity and control functions. Also, there are multiple development environments and programming languages. A final problem is seamless prototyping of applications offline and then seamless partitioning of the algorithm between phone and the cloud. In this paper we present early design elements of a framework aimed at addressing these issues.