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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 430))

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Abstract

With the approaching vision of the Internet of Things smart devices tend to be exploited in a variety of business processes and applications. In order to serve their demands, it is necessary to ensure self-configuration, self-adaptation and self-management capabilities. The Internet Protocol version 6 (IPv6) is a good basis for the networking layer of the Internet of Things. However, its internal mechanisms often fail in ad hoc, mobile set-ups which are common among smart devices. To address these challenges in the field of stateless address auto-configuration, we have proposed an IPv6 Neighbor Discovery++ protocol. In this article we present the protocol overhead evaluation in the set-ups allowing to achieve duplication detection reliability close to 100 %. The results reveal that only a few messages per node are sufficient to verify address uniqueness in diversified network environments. Hence, the solution can serve the requirements of robust Internet of Things architectures.

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Acknowledgments

Monika Grajzer is a scholarship holder within the project “Scholarship support for Ph.D. students specializing in majors strategic for Wielkopolska’s development”, Sub-measure 8.2.2 Human Capital Operational Programme, co-financed by European Union under the European Social Fund. The presented work has been funded by the Polish Ministry of Science and Higher Education within the status activity task “Struktura, analiza i projektowanie nowoczesnych systemów komutacyjnych i sieci telekomunikacyjnych” in 2015.

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Grajzer, M., Głąbowski, M. (2016). Neighbor Discovery++: A Low-Overhead Address Auto-configuration to Enable Robust Internet of Things Architectures. In: Grzech, A., Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part II. Advances in Intelligent Systems and Computing, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-319-28561-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-28561-0_7

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