Urban computing is a recent research topic that aims to obtain and analyze urban data from various sources, such as traditional wireless sensor networks (WSNs) and emerging parti-cipatory sensor networks (PSNs) to understand and address issues that cities face. PSNs are particularly interesting because they rely on the participation of users in urban sensing, allowing the observation of large-scale actions of people in (almost) real time over long periods of time. PSN data increase our knowledge about different aspects of our lives in urban scenarios, which can be very useful in developing more sophisticated applications to various sectors, especially those related to the understanding of urban societies. The pur-pose of this short course is to discuss the concept of urban computing and urban sensing with participatory sensor networks. We aim to show the relevance of urban computing and motivate the construction of new applications that address issues related to the dynamics of cities and urban social behavior. In addition, this short course will discuss how to work with PSNs, by analyzing their properties and their usefulness in the development of new applications in urban computing. Resumo
CITATION STYLE
Silva, T., & Loureiro, A. (2015). Computação Urbana: Técnicas para o Estudo de Sociedades com Redes de Sensoriamento Participativo. In Jornada de Atualização em Informática 2015 (pp. 68–122). SBC. https://doi.org/10.5753/sbc.6899.3.2
Mendeley helps you to discover research relevant for your work.