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Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/5091

Title: 4Sensing - decentralized processing for participatory sensing data
Authors: Ferreira, Heitor José Simões Baptista
Advisor: Duarte, Sérgio
Preguiça, Nuno
Keywords: Participatory sensing
Decentralized processing
Data streaming
Mobile computing
Issue Date: 2010
Publisher: Faculdade de Ciências e Tecnologia
Abstract: Participatory sensing is a new application paradigm, stemming from both technical and social drives, which is currently gaining momentum as a research domain. It leverages the growing adoption of mobile phones equipped with sensors, such as camera, GPS and accelerometer, enabling users to collect and aggregate data, covering a wide area without incurring in the costs associated with a large-scale sensor network. Related research in participatory sensing usually proposes an architecture based on a centralized back-end. Centralized solutions raise a set of issues. On one side, there is the implications of having a centralized repository hosting privacy sensitive information. On the other side, this centralized model has financial costs that can discourage grassroots initiatives. This dissertation focuses on the data management aspects of a decentralized infrastructure for the support of participatory sensing applications, leveraging the body of work on participatory sensing and related areas, such as wireless and internet-wide sensor networks, peer-to-peer data management and stream processing. It proposes a framework covering a common set of data management requirements - from data acquisition, to processing, storage and querying - with the goal of lowering the barrier for the development and deployment of applications. Alternative architectural approaches - RTree, QTree and NTree - are proposed and evaluated experimentally in the context of a case-study application - SpeedSense - supporting the monitoring and prediction of traffic conditions, through the collection of speed and location samples in an urban setting, using GPS equipped mobile phones.
Description: Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática.
URI: http://hdl.handle.net/10362/5091
Appears in Collections:FCT: DI - Dissertações de Mestrado

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