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Mobility Analysis for Passive Reservations in Vehicular Cellular Networks Based on Dynamic Programming and Roads Compression

Mobility Analysis for Passive Reservations in Vehicular Cellular Networks Based on Dynamic Programming and Roads Compression

Peppino Fazio, Mauro Tropea, Miroslav Voznak, Andrea Lupia
Copyright: © 2016 |Volume: 8 |Issue: 4 |Pages: 15
ISSN: 1941-8663|EISSN: 1941-8671|EISBN13: 9781466690639|DOI: 10.4018/IJITN.2016100101
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MLA

Fazio, Peppino, et al. "Mobility Analysis for Passive Reservations in Vehicular Cellular Networks Based on Dynamic Programming and Roads Compression." IJITN vol.8, no.4 2016: pp.1-15. http://doi.org/10.4018/IJITN.2016100101

APA

Fazio, P., Tropea, M., Voznak, M., & Lupia, A. (2016). Mobility Analysis for Passive Reservations in Vehicular Cellular Networks Based on Dynamic Programming and Roads Compression. International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 8(4), 1-15. http://doi.org/10.4018/IJITN.2016100101

Chicago

Fazio, Peppino, et al. "Mobility Analysis for Passive Reservations in Vehicular Cellular Networks Based on Dynamic Programming and Roads Compression," International Journal of Interdisciplinary Telecommunications and Networking (IJITN) 8, no.4: 1-15. http://doi.org/10.4018/IJITN.2016100101

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Abstract

The employment of an appropriate Bandwidth Management Scheme (BMS) is needed in wireless networking, given that the main desire of end-users is to take advantage of satisfactory services, in terms of Quality of Service (QoS), especially when a particular charge is paid to meet the requirement. In this paper the authors are interested in investigating how the continuity of services can be guaranteed in QoS networks, when users move from a cell to another one, under an infrastructure cellular coverage. The only way to face this issue is represented by the employment of in-advance bandwidth reservations, although it leads the system to waste bandwidth resources, since they are not used until the mobile host enters the coverage cell where the passive request has been made. A new scheme for predicting user movements is proposed, taking the advantage of the dynamic programming approach, that is able to reduce the number of possible roads to be considered and thereby increasing/decreasing the accuracy/redundancy of the proposed model. Several simulation runs have been carried out in order to assess the effectiveness of the proposed idea.

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