Big Data and Effective Environmental Sensing

• Autor(a) principal: Ferreira, Luís
• Data de Publicação: 2018
• Outros Autores: Putnik, Goran, Lopes, Nuno, Lopes, Arménio, Cunha, Manuela
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/11110/1385
• topic: big data; environmental sensing

Building a Smarter Planet with smarter energy are increasing concerns that touch all existing and known human areas, being them social, scientific, cultural, economical or political. In this context, Environmental Sensing and Monitoring Technologies continue to be emergent scientific researching subjects and aligned with a recent BCC Research report where three main trends are identified: a) Information and Communications Technology (ICT) and its miniatuization course; b) the bet on the sensors components; and c) the development of the environmental sensor and monitoring networks themselves, supported by already existing commercial initiatives. We believe that environmental sensing and monitoring initiatives will be gratified by new Information System (IS) architectures and collaboration protocols arising with Cloud Computing (CC) paradigm. Therefore, the aim of this paper is to: a) demonstrate that getting an efficient control and monitoring of Environmental Sensing, requires a Big Data processing and analysis capacity; b) enrich an existing proposal of a platform based on open source technology with: a) an efficient and appropriate dynamic and reconfigurable network infrastructure to support the required an expected set of sensing devices, and b) a Big Data processing engine to handle the expected variable amount of real-time data; c) evidence the relevance of human aligned communication channels to assure the effectiveness of all system; Objectively, this paper proposes an innovative monitoring platform for Environmental Sensing, supported by a cloud and ubiquitous architecture, using Big Data processing capacity, towards an efficient, effective, sustainable and passive eco-environment, where human-to-human relations allows the essential co-creation and co-decision in this business area.