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Erschienen in: Wireless Personal Communications 1/2014

01.07.2014

Quality-Driven Capacity-Aware Resources Optimization Design for Ubiquitous Wireless Networks

verfasst von: Haitao Zhao, Hongbo Zhu, Dapeng Li, Nanjie Liu

Erschienen in: Wireless Personal Communications | Ausgabe 1/2014

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Abstract

In this paper, we propose a probability-statistical capacity-prediction scheme to provide probabilistic quality-of-service (QoS) guarantees under the high traffic load of IEEE 802.11 wireless multimedia Mesh networks. The proposed scheme perceives the state of wireless link based on the MAC retransmission statistics and calculates the statistical channel capacity especially under the saturated traffic load. Via a cross-layer design approach, the scheme allocates network resource and forwards data packets by taking the interference among flows and the channel capacity into consideration. Extensive experiments have been carried out on the basis of IEEE 802.11 protocols in order to demonstrate the superiority of the proposed scheme over the existing location-based QoS optimization delivery algorithm in terms of retransmission count, successful delivery rate, and end-to-end delay on the condition of time-varying multi-hop wireless links.

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Metadaten
Titel
Quality-Driven Capacity-Aware Resources Optimization Design for Ubiquitous Wireless Networks
verfasst von
Haitao Zhao
Hongbo Zhu
Dapeng Li
Nanjie Liu
Publikationsdatum
01.07.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-013-1508-y

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