Dynamic Sensor Management: Extending Sensor Web for Near Real-Time Mobile Sensor Integration in Dynamic Scenarios

Abstract

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The use of heterogeneous geospatial big data for improving decision-making

“…Study results also demonstrated that these interoperability standards in combination with data source adapters are important elements of a layer-based architecture because they are able to handle intrinsic heterogeneity of the data sources. This integrated use is performed by building upon and extending previous work that uses adapters for integrating geospatial data [Assis et al 2016]. In other words, those adapters are able to encapsulate the discrepancies and idiosyncrasies of data sources, converting the data to a standardized pattern, and sharing them.…”

An approach for improving decision-making with heterogeneous geospatial big data: an application using spatial decision support systems and volunteered geographic information to disaster management

“…and local communities must carry out relief activities with a view to building some form of resistance against them, i.e., to enable communities to resist, change or adapt to the conditions if there is a disaster (NORRIS et al, 2008). Traditional data sources have been providing useful information about environmental variables; for example, hydrological stations to measure the water level in riverbeds, weather radars to detect the weather conditions, and rainfall gauges to calculate the volume of rainfall (MANSOURIAN et al, 2006;LEE et al, 2008;MARKOVIC;STANIMIROVIC;STOIMENOV, 2009;HUGHES et al, 2011;ASSIS et al, 2016). These data sources have been supplemented by ordinary volunteers who have been providing valuable information about the current situation in affected areas by means of social media platforms (e.g., Twitter), SMS, participatory platforms (e.g., citizen observatories and mobile apps), and collaborative mapping (e.g., OpenStreetMap) (ERSKINE; GREGG, 2012;DEGROSSI et al, 2014;ALBUQUERQUE et al, 2015).…”

Service-oriented middleware for dynamic, real-time management of heterogeneous geosensors in flood management

“…Chapter 2 contains a systematic literature mapping of approaches to integrate dynamically heterogeneous sensors into the Sensor Web (Objective 1). Chapter 3 (ASSIS et al, 2016) was accepted at the 30th IEEE International Conference on Advanced Information Networking and Applications (AINA-2016) and describes a dynamic sensor management component that extends the Sensor Web for near real-time mobile sensor integration in dynamic scenarios (Objective 2). Chapter 4 was accepted at the 35th Brazilian Computer Society Conference (CSBC-2015) (ASSIS et al, 2015a) and 16th Brazilian Symposium on Geoinformatics (GEOINFO-2015) (ASSIS et al, 2015b) and outlines an automated geographical prioritization of social network messages using sensor data stream: an application to floods (Objective 3).…”