1st International ICST Workshop on the Evaluation of Quality of Service through Simulation in the Future Internet

Research Article

Queuing Analysis of Multi-Hop CSMA/CA Wireless Networks Handling Many Traffic Flows

  • @INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2008.3037,
        author={Ben Lauwens and Bart Scheers and Antoine Van de Capelle},
        title={Queuing Analysis of Multi-Hop CSMA/CA Wireless Networks Handling Many Traffic Flows},
        proceedings={1st International ICST Workshop on the Evaluation of Quality of Service through Simulation in the Future Internet},
        publisher={ACM},
        proceedings_a={QOSIM},
        year={2010},
        month={5},
        keywords={},
        doi={10.4108/ICST.SIMUTOOLS2008.3037}
    }
    
  • Ben Lauwens
    Bart Scheers
    Antoine Van de Capelle
    Year: 2010
    Queuing Analysis of Multi-Hop CSMA/CA Wireless Networks Handling Many Traffic Flows
    QOSIM
    ICST
    DOI: 10.4108/ICST.SIMUTOOLS2008.3037
Ben Lauwens1,*, Bart Scheers1,*, Antoine Van de Capelle2,*
  • 1: Royal Military Academy, CISS/TELE, 30, Renaissancelaan Brussels, B-1000, BELGIUM.
  • 2: Katholieke Universiteit Leuven, ESAT/TELEMIC, 10, Kasteelpark Arenberg Heverlee, B-3001, BELGIUM.
*Contact email: Ben.Lauwens@rma.ac.be, Bart.Scheers@rma.ac.be, Antoine.Vandecapelle@esat.kuleuven.be

Abstract

In this paper a semi-analytical model for the evaluation of the queuing performance in CSMA-CA multi-hop wireless networks with arbitrary topology is proposed. The intrinsic fairness of single-hop wireless networks can be used to model the network as a processor sharing system with multiple queues, one for each node, and a fair scheduling regime. In the multi-hop scenario, the queuing performance depends on the access protocol, the network topology and the traffc pro- fles on all links. In a previous paper a model is introduced which allows the calculation of the saturation throughput of nodes in multi-hop CSMA-CA networks with RTS/CTS enabled access. A simplifed version of the method is used to estimate the resources of the servers in a many-sources large deviations analysis of a queuing system with multi- ple coupled servers. The queuing performance of wireless networks can be evaluated by mapping the different servers to the nodes in the network. The cumulative complemen- tary distribution function of the buffer occupation of a node for different topologies is calculated by a novel method and compared to the results of an event-driven simulation with the same settings. A good ft between the semi-analytical model and the simulation is obtained.