Abstract
Internet of Things, Smart Spaces and Geo-coding technologies are fastest growing directions in modern mobile market and urban environments [1, 2]. This is due to the advent of various services that using common technologies, as well as to develop common requirements and architectures for using geo-contextual services in semantic data processing. Location is a mandatory requirement for the Internet of Things and Smart Spaces directions products, because geo-context is a one of the factor to determine the location of subjects in various environments. As a result, it was decided to integrate geo-coding and smart spaces platforms, for the possibility of using geo-context in the semantic space. As an implementation used two open source software platforms – Geo2Tag and Smart-M3. The article discusses an integration agent performance testing and its analysis, provided recommendations for integration mechanisms optimization.
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Yudenok, K. (2014). Geo-Coding and Smart Space Platforms Integration Agent Performance Testing and Analysis. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_6
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DOI: https://doi.org/10.1007/978-3-319-10353-2_6
Publisher Name: Springer, Cham
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