An integrated cloud-based framework for mobile phone sensing

Abstract

Nowadays mobile phones are not only communication devices, but also a source of rich sensory data that can be collected and exploited by distributed people-centric sensing applications. Among them, environmental monitoring and emergency response systems can particularly benefit from people-based sensing. Due to the limited resources of mobile devices, sensed data are usually offloaded to the cloud. However, state-of-the art solutions lack a unified approach suitable to support diverse applications, while reducing the energy consumption of the mobile device. In this paper, we specifically address mobile devices as rich sources of multimodal data collected by users. In this context, we propose an integrated framework for storing, processing and delivering sensed data to people-centric applications deployed in the cloud. Our integrated platform is the foundation of a new delivery model, namely, Mobile Application as a Service (MAaaS), which allows the creation of people-centric applications across different domains, including participatory sensing and mobile social networks. We specifically address a case study represented by an emergency response system for fire detection and alerting. Through a prototype testbed implementation, we show that the proposed framework can reduce the energy consumption of mobile devices, while satisfying the application requirements.

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“…Fakoor et al in [9] and Sen et al in [10] propose the use of a mobile device as a sensor data stream generator node. The data generated is sent to the Cloud and processed for integration.…”

UDP-DC2: User Data Processing Platform Based on Device-centric Cloud

“…Their key management is secure for a server while buffering user data in a server because a system can encrypt user data with the ID with key. In mobile sensing framework [6], device's sensor data can be collected and used for a service. They presented the framework to collect and share mobile phone's sensor data with applications.…”

Ghost encryption: Mobile data security model encrypting data before moving it to the cloud service provider

“…Fakoor et al proposed a cloud based framework [4], Mobile Application as a Service (MAaaS) for people-centric cross domain applications with participatory sensing and mobile social networks. In MAaaS, user mobile has an independent multi-modal data source.…”

“…In MAaaS, user mobile has an independent multi-modal data source. In addition, it coordinates many users and applications as per the resource requirements of individual applications [4].…”