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An Adaptive Handover Decision Algorithm for Heterogenous Wireless Networks

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Mobile Wireless Middleware, Operating Systems, and Applications (MOBILWARE 2012)

Abstract

The increasingly use of wireless networks and mobile technologies has raised the desire not only to have a good quality access to the network, but also to seamlessly change the network when moving. Various handover algorithmus have been proposed to handle this situation. Unfortunately, many of these algorithms have been only evaluated in simulative environments using simplified models and network assumptions. They do not take the wide range of mobile devices with varying system parameters and capabilities into account which are offered on the market. For the practical deployment, handover algorithms are required which adapt to various device parameters and network characteristics. In this paper we present a fuzzy-based vertical handover decision algorithm which adjusts itself to the given device parameters and network capabilities. Starting with a discussion on the requirements to vertical handover, we present the algorithm and describe how it is activated during the various phases of the handover process. Thereafter we present several experiments which evaluate the accuracy of the handover decision, the quality of service guarantees for the application, and the resource consumption.

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Pink, M., Pietsch, T., König, H. (2013). An Adaptive Handover Decision Algorithm for Heterogenous Wireless Networks. In: Borcea, C., Bellavista, P., Giannelli, C., Magedanz, T., Schreiner, F. (eds) Mobile Wireless Middleware, Operating Systems, and Applications. MOBILWARE 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 65. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36660-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-36660-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36659-8

  • Online ISBN: 978-3-642-36660-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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