Mobile Multimedia Communications. 7th International ICST Conference, MOBIMEDIA 2011, Cagliari, Italy, September 5-7, 2011, Revised Selected Papers

Research Article

Delay Model for Super-Frame Based Resource Reservation in Distributed Wireless Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-30419-4_10,
        author={Xiaobo Yu and Pirabakaran Navaratnam and Klaus Moessner},
        title={Delay Model for Super-Frame Based Resource Reservation in Distributed Wireless Networks},
        proceedings={Mobile Multimedia Communications. 7th International ICST Conference, MOBIMEDIA 2011, Cagliari, Italy, September 5-7, 2011, Revised Selected Papers},
        proceedings_a={MOBIMEDIA},
        year={2012},
        month={5},
        keywords={QoS IEEE 802.11e resource reservation},
        doi={10.1007/978-3-642-30419-4_10}
    }
    
  • Xiaobo Yu
    Pirabakaran Navaratnam
    Klaus Moessner
    Year: 2012
    Delay Model for Super-Frame Based Resource Reservation in Distributed Wireless Networks
    MOBIMEDIA
    Springer
    DOI: 10.1007/978-3-642-30419-4_10
Xiaobo Yu1,*, Pirabakaran Navaratnam1,*, Klaus Moessner1,*
  • 1: University of Surrey
*Contact email: x.yu@surrey.ac.uk, p.navaratnam@surrey.ac.uk, k.moessner@surrey.ac.uk

Abstract

This paper proposes an analytical framework for evaluating the delay performance of super-frame (SF) based MAC schemes with distributed resource reservation in IEEE 802.11e enhanced distributed channel access (EDCA). SF-based resource reservation (RR) schemes divide the airtime into service intervals (SIs) with contention-free period (CFP) for providing guaranteed QoS for RTSNs and contention access period (CAP) for pledging fairness toward other sessions. The proposed analytical framework models the delay performance of RTSNs that obtain dedicated resources in a distributed manner. In addition, the optimization of system parameters, such as size of transmission opportunity (TXOP) and SI are studied in order to enhance the overall network capacity. The accuracy of the analytical framework is verified through numerical simulation and analytical results, which also suggest that the optimum resource allocation and SI can be found for improving the network capacity.