SOSFul: Sensor Observation Service (SOS) for Internet of Things (IoT)

Pradilla, Juan; Esteve, Manuel; Palau, Carlos E.

doi:10.1109/tla.2018.8362168

Cited by 12 publications

(10 citation statements)

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“…The results show an improvement in response times for several SOS operations. In SOSFul 3 [21], the authors developed SOSLite further, proposing a REST API using JSON encoding format which handles core, transactional and enhanced SOS operations via the core HTTP request types (GET, POST, PUT, DELETE). SOSFul and SOSLite are openly available and were both considered for this experiment.…”

Section: A Open and Sensor Web Standardsmentioning

confidence: 99%

A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards

Marsh-Hunn¹,

Trilles

González‐Pérez

et al. 2021

IEEE Sensors J.

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Although billions of devices are embedded in the World Wide Web through the Internet of Things, there is still a lack of a common, interoperable way to connect them and make them interact seamlessly. IoT has also found its way into the spatial web. Environmental monitoring and sensing platforms connected over the web by wireless sensor networks are now a common way to monitor natural phenomena. This study compares two open Web Standards (OGC's Sensor Observation Service and SensorThings API) from the geospatial point of view. An IoT platform, called SEnviro, is used to integrate and evaluate implementations for each standard and contrast their qualitative and quantitative traits. The results of the study show that the SensorThings API proves to be the adequate Web Standard for IoT applications in terms of interoperability. It outperforms the contesting Web Standard in terms of flexibility and scalability, which strongly impacts on developer and user experience.

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Section: A Open and Sensor Web Standardsmentioning

confidence: 99%

A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards

Marsh-Hunn¹,

Trilles

González‐Pérez

et al. 2021

IEEE Sensors J.

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“…The way the device communicates with the user is addressed through the communication attribute and fits in heterogeneity, a feature that ensures information is handled evenly. According to a study presented by Pradilla, Esteve, and Palau [45], the devices are responsible for taking data acquisition through sensors, supporting data treatment with processing units, and acting in conjunction with IoT. Therefore, it is necessary to use heterogeneity in the communication protocols handled by the device and the number of services and types available.…”

Section: Devicementioning

confidence: 99%

A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information

Lucca

Silva

Luchtenberg

et al. 2020

Sensors

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Data on diagnosis of infection in the general population are strategic for different applications in the public and private spheres. Among them, the data related to symptoms and people displacement stand out, mainly considering highly contagious diseases. This data is sensitive and requires data privacy initiatives to enable its large-scale use. The search for population-monitoring strategies aims at social tracking, supporting the surveillance of contagions to respond to the confrontation with COVID-19. There are several data privacy issues in environments where IoT devices are used for monitoring hospital processes. In this research, we compare works related to the subject of privacy in the health area. To this end, this research proposes a taxonomy to support the requirements necessary to control patient data privacy in a hospital environment. According to the tests and comparisons made between the variables compared, the application obtained results that contribute to the scenarios applied. In this sense, we modeled and implemented an application. By the end, a mobile application was developed to analyze the privacy and security constraints with COVID-19.

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“…In the class that implements the data-parsing interface, the data stream is transformed from a private format into a public format. JavaScript Object Notation (JSON) is a lightweight text data exchange format independent of programming languages that is often used for data transmission in the IoT [27,28]. Thus, JSON is suitable for describing the sensor data after geo-sensor data stream parsing.…”

Section: Parsing Interface-oriented Sensor Data Transmission Protocolmentioning

confidence: 99%

“…The designer of the protocol also protects the privacy of the protocol and the privacy of the sensor data ( Figure 3). that is often used for data transmission in the IoT [27,28]. Thus, JSON is suitable for describing the sensor data after geo-sensor data stream parsing.…”

Section: Parsing Interface-oriented Sensor Data Transmission Protocolmentioning

confidence: 99%

Real-Time Visualization of Geo-Sensor Data Based on the Protocol-Coupling Symbol Construction Method

Jiao

Sun

2018

IJGI

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Obtaining and visualizing the internal state and position information of the remote device using sensors are important aspects of industrial manufacturing. For large-scale geo-sensors that have been recently used, map-based management and visualization of the geo-sensor devices have become ubiquitous. Users often build multiple map symbols to represent the multiple states of a device based on traditional map symbols. Visualizing multiple geo-sensor data in real time with one map symbol is difficult. In this paper, a protocol-coupling map symbol and a construction method for real-time data visualization is introduced where different sensor states of the geo-sensor are expressed with one symbol. The sensor data visualization method in supervisory control and data acquisition systems (SCADA) was introduced and applied to the construction and visualization process of map symbols. First, based on the traditional vector map symbols and the communication protocol parsing interface, the mapping relationship between the sensor data item and the graphic element is defined in the map symbol construction process. Second, by referring to the streaming services method in ArcGIS GeoEvent, geo-sensor data acquisition and a transfer broker in a GIS server is built, through which the real-time sensor data can be transferred from the remote side to the map client and used for map symbol rendering. Finally, the new map symbols are used for real-time geo-sensor data visualization in applications. In the application of the real-time monitoring of geo-sensor devices, remote device information was acquired by sensor and transmitted to the broker then cached on the server side. If the cached sensor data has changed compared to the previous, the changed data will be pushed to map client by broker. The communication module in the map client that communicates with the broker receives changed geo-sensor data and triggers a refresh of the map. Then the protocol-coupling map symbol is rendered according to the mapping profile and the status of the geo-sensor device will be displayed on the map in real time. All the methods and processes were verified in client-server and browser-server GIS architecture.

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SOSFul: Sensor Observation Service (SOS) for Internet of Things (IoT)

Cited by 12 publications

References 0 publications

A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards

A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards

A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information

Real-Time Visualization of Geo-Sensor Data Based on the Protocol-Coupling Symbol Construction Method

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