QoS-predictions service: QoS support for proactive mobile services

Katarzyna Wac; Melanie Hilario; Bert Jan van Beijnum; Richard Bults; Dimitri Konstantas

doi:10.4018/978-1-61520-771-8.ch015

QoS-predictions service: QoS support for proactive mobile services

Katarzyna Wac, Melanie Hilario, Bert Jan van Beijnum, Richard Bults, Dimitri Konstantas

Abstract

The success of emerging mobile services depends on the serviceability of the underlying wireless networks, expressed in terms of Quality of Service (QoS) provided by a network available to service user at a given geographical location and time. In general, this serviceability is a priori unknown. As a solution the authors propose a QoS-predictions service, providing predictions of QoS of networks available at a given user's geographical location and time. In a case study they prove the feasibility of deriving predictions from historical data collected by a mobile service user. They have chosen this mobile user to be a patient, who uses a personalized health telemonitoring service in his daily environments for a period of one month. They consider the QoS-predictions service as a novel support for mobile services operational in 4G heterogeneous network environments.

Originalsprog	Engelsk
Titel	Wireless Network Traffic and Quality of Service Support : Trends and Standards
Antal sider	22
Forlag	IGI global
Publikationsdato	1 dec. 2010
Sider	378-399
ISBN (Trykt)	9781615207718
DOI	https://doi.org/10.4018/978-1-61520-771-8.ch015
Status	Udgivet - 1 dec. 2010

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10.4018/978-1-61520-771-8.ch015

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AU - Wac, Katarzyna

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AU - Bults, Richard

AU - Konstantas, Dimitri

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AB - The success of emerging mobile services depends on the serviceability of the underlying wireless networks, expressed in terms of Quality of Service (QoS) provided by a network available to service user at a given geographical location and time. In general, this serviceability is a priori unknown. As a solution the authors propose a QoS-predictions service, providing predictions of QoS of networks available at a given user's geographical location and time. In a case study they prove the feasibility of deriving predictions from historical data collected by a mobile service user. They have chosen this mobile user to be a patient, who uses a personalized health telemonitoring service in his daily environments for a period of one month. They consider the QoS-predictions service as a novel support for mobile services operational in 4G heterogeneous network environments.

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QoS-predictions service: QoS support for proactive mobile services

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