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Network Selection Scheme Using Taguchi Method for Real-Time Streaming Media Over Heterogeneous Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 810))

Abstract

Next generation wireless communication networks needs to integrate various heterogeneous technologies based on an IP core network. Thus it guarantees service continuity, optimum network selection, user mobility and integration of new applications and resources. Integration of various wireless technologies in heterogeneous environment offers best service to every application. However, an automatic interface selection and user preferences based on quality of service parameters such as available resources, bandwidth, network delay or speed, security, and power consumption is desired. Hence network selection scheme explicitly based on user preferences and available resources is required. In this paper, network selection scheme using Taguchi method over heterogeneous wireless communication networks is proposed. Taguchi method assists in analyzing the quality of service parameters so as to satisfy or establish best optimum parameters of the network that further assist in network selection. It also estimates the contribution from the individual parameters affecting the overall performance of the network. Moreover, our results ensure optimum selection of suitable matching network for every flow considering quality of service parameters and user preferences. Network selection scheme finds applications in the area of real-time streaming media, online traffic offloading, reduced delay, optimum utilization of the services, integration of heterogeneous wireless technologies, incorporation of new applications and quality of services through user preferences.

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Correspondence to Renuka Deshpande .

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Deshpande, R., Ragha, L., Sharma, S.K. (2019). Network Selection Scheme Using Taguchi Method for Real-Time Streaming Media Over Heterogeneous Networks. In: Iyer, B., Nalbalwar, S., Pathak, N. (eds) Computing, Communication and Signal Processing . Advances in Intelligent Systems and Computing, vol 810. Springer, Singapore. https://doi.org/10.1007/978-981-13-1513-8_31

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  • DOI: https://doi.org/10.1007/978-981-13-1513-8_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1512-1

  • Online ISBN: 978-981-13-1513-8

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