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Theoretical and Quantitative Comparison of SensibleThings and GSN
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This project is aimed at making comparison between current existing Internet- of-Things (IoT) platforms, SensibleThings (ST) and Global Sensors Networks (GSN). Project can be served as a further work of platforms’ investigation. Comparing and learning from each other aim to contribute to the improvement of future platforms development. Detailed comparison is mainly with the respect of platform feature, communication and data present-frequency performance under stress, and platform node scalability performance on one limited device. Study is conducted through developing applications on each platform, and making measuring performance under the same condition in household network environment. So far, all these respects have had results and been concluded. Qualitatively comparing, GSN performs better in the facets of node’s swift development and deployment, data management, node subscription and connection retry mechanism. Whereas, ST is superior in respects of network package encryption, platform reliability, session initializing latency, and degree of developing freedom. In quantitative comparison, nodes on GSN has better data push pressure resistence while ST nodes works with lower session latency. In terms of data present-frequency, ST node can reach higher updating frequency than GSN node. In the aspect of node sclability on one limited device, ST nodes take the advantage in averagely lower latency than GSN node when nodes number is less than 15 on limited device. But due to sharing mechanism of GSN, on one limited device, it's nodes shows more scalable if platform nodes have similar job.

Place, publisher, year, edition, pages
2016. , 43 p.
Keyword [en]
IoT, GSN, SensibleThings, Fully distributed system, Partially decentralized system
National Category
Software Engineering
URN: urn:nbn:se:miun:diva-28099Local ID: DT-V16-G3-016OAI: diva2:943062
Subject / course
Computer Engineering DT1
Available from: 2016-06-27 Created: 2016-06-27 Last updated: 2016-06-27Bibliographically approved

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Wang, Kaidi
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