Using SWE Standards for Ubiquitous Environmental Sensing: A Performance Analysis

Tamayo, Alain; Granell, Carlos; Huerta, Joaquín

doi:10.3390/s120912026

Cited by 19 publications

(15 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…When using mobile devices as ubiquitous sensing tools, OGC SWE protocols for data exchange between mobile devices introduce considerable overhead and performance penalties [117]. In addition, as SWE standards can be used for creating complex, time-consuming applications, such applications are often limited for resource-constrained devices [118].…”

Section: Research Challenges Existing Giscience Contributions To Tackmentioning

confidence: 99%

Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience

Degbelo

Granell

Trilles

et al. 2016

IJGI

Self Cite

131

View full text Add to dashboard Cite

Abstract:The holy grail of smart cities is an integrated, sustainable approach to improve the efficiency of the city's operations and the quality of life of citizens. At the heart of this vision is the citizen, who is the primary beneficiary of smart city initiatives, either directly or indirectly. Despite the recent surge of research and smart cities initiatives in practice, there are still a number of challenges to overcome in realizing this vision. This position paper points out six citizen-related challenges: the engagement of citizens, the improvement of citizens' data literacy, the pairing of quantitative and qualitative data, the need for open standards, the development of personal services, and the development of persuasive interfaces. The article furthermore advocates the use of methods and techniques from GIScience to tackle these challenges, and presents the concept of an Open City Toolkit as a way of transferring insights and solutions from GIScience to smart cities.

show abstract

Section: Research Challenges Existing Giscience Contributions To Tackmentioning

confidence: 99%

Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience

Degbelo

Granell

Trilles

et al. 2016

IJGI

Self Cite

131

View full text Add to dashboard Cite

show abstract

“…(Tan & Koo, 2014). In this context, OGC has developed Sensor Web Enablement initiative (SWE) standards which provide extensive support for GSNs usage in IoT implementations XML-based encodings and service interfaces for discovering, accessing and exchanging any kind of sensor data (Tamayo, Granell, & Huerta, 2012).…”

Section: Internet Of Thingsmentioning

confidence: 99%

Incorpoaration of Geosensor Networks Into Internet of Things for Environmental Monitoring

Habibi

Alesheikh

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Thanks to the recent advances of miniaturization and the falling costs for sensors and also communication technologies, Internet specially, the number of internet-connected things growth tremendously. Moreover, geosensors with capability of generating high spatial and temporal resolution data, measuring a vast diversity of environmental data and automated operations provide powerful abilities to environmental monitoring tasks. Geosensor nodes are intuitively heterogeneous in terms of the hardware capabilities and communication protocols to take part in the Internet of Things scenarios. Therefore, ensuring interoperability is an important step. With this respect, the focus of this paper is particularly on incorporation of geosensor networks into Internet of things through an architecture for monitoring real-time environmental data with use of OGC Sensor Web Enablement standards. This approach and its applicability is discussed in the context of an air pollution monitoring scenario.

show abstract

“…To achieve compactness compression techniques are used to reduce the size of XMLencoded information [37,38]. In this sense, the use of compressed format such as EXI [39] would drastically reduce the size of exchanged messages [40], which has positive effect on the volume of transmitted data to mobile devices. Indeed, the addition of compressed formats would only require a few changes in terms of importing libraries for handling these formats in our implementation as we comment later.…”

Section: Related Workmentioning

confidence: 99%

“…The mobile client application is referred to as Air quality mobile client in the remainder of this article. We have chosen SOS because of our previous experience with this specification in the server and client side [5,14,40], and also because the SOS schemas are among the most complex schemas of the OGC specifications with more than 700 types distributed over more than 80 schema files. These figures undoubtedly represent a real challenge for testing our approach.…”

Section: Instance-based Xml Data Bindingmentioning

confidence: 99%

Personalised code generation from large schema sets for geospatial mobile applications

et al. 2013

Self Cite

View full text Add to dashboard Cite

Revista:Computing Versión / Versió: Post-print Cita bibliográfica / Cita bibliogràfica (ISO 690):TAMAYO, Alain, et al. Personalised code generation from large schema sets for geospatial mobile applications. Computing, 2014, vol. 96, no 5, p. 355-379. Abstract XML and XML Schema are used in the geospatial domain for the definition of standards that enhance the interoperability between producers and consumers of spatial data. The size and complexity of these geospatial standards and their associated schemas have been growing with time reaching levels of complexity that make it difficult to build systems based on them in a timely and cost-effective manner. The problem of producing XML processing code based on large schemas has been traditionally solved by using XML data binding generators. Unfortunately, this solution is not always effective when code is generated for resource-constrained devices, such as mobile phones. Large and complex schemas often result in the production of code with a large size and a complicated structure that might not fit the device limitations. In this article we present Instance-based XML data binding, an approach to produce more compact application-specific XML processing code for geospatial applications targeted to mobile devices. The approach tries to reduce the size and complexity of the generated code by using information about how schemas are used by individual applications. Our experimental results suggest a significant simplification of XML Schema sets to the real needs of client applications accompanied by a substantial reduction of size of the generated code.

show abstract

Using SWE Standards for Ubiquitous Environmental Sensing: A Performance Analysis

Cited by 19 publications

References 52 publications

Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience

Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience

Incorpoaration of Geosensor Networks Into Internet of Things for Environmental Monitoring

Personalised code generation from large schema sets for geospatial mobile applications

Contact Info

Product

Resources

About