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Rate-Diversity and Resource-Aware Broadcast and Multicast in Multi-rate Wireless Mesh Networks

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Abstract

This paper focuses on the problem of increasing the traffic capacity (volume of admissible traffic) of broadcast and multicast flows in a wireless mesh network (WMN). We study and suggest routing strategies where the process of constructing the forwarding tree considers three distinct features: (a) the ability of individual mesh nodes to perform link-layer broadcasts at multiple rates, (b) the wireless broadcast advantage, whereby a single broadcast transmission covers multiple neighboring receivers and (c) the residual transmission capacity at a WMN node, subject to intereference-based constraints from existing traffic flows in its neighborhood. Our metric of interest is the total number of broadcast and multicast flows that can be admitted into the network, without resulting in unacceptable degradation in metrics such as packet loss and dissemination latency. Our discrete event simulations show that the broadcast tree construction heuristic which takes both transmission rate and residual bandwidth into account out-performs those that do not. Building on our work on resource-aware broadcast tree construction, we propose a resource-aware multicast tree construction algorithm which exploits the multiple link-layer rates, the wireless broadcast advantage and the amount of resources available. Simulation results show that this algorithm performs better than heuristics based on pruning a broadcast tree or shortest path trees.

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Notes

  1. The case where the channel condition is time-varying is left for future work.

  2. Our analysis, which is aimed at understanding the fundamental issues associated with multi-rate transmissions, assumes that L i represents the total traffic load of F i , such that \(\frac{L_i}{\rho}\) represents the total transmission time. For precise computation, L i should be adjusted to include the various overheads (network, MAC, PHY) associated with a specific transmission technology.

  3. We also assume that the load for all flows are fixed and known before hand at the time of admission control and route establishment.

  4. Given a graph (V,E) where V is the set of nodes and E is the set of edges. An independent set I is a subset of V such that no two elements in I are connected by an edge.

  5. Let Δ i denote the out-degree of node v i , then the maximum number of nodes in a unicast CG and multicast CG are, respectively, \(\sum_{v_i \in V} \Delta_i\) (which is equal to the number of directed edges in the graph) and \(\sum_{v_i \in V} (2^{\Delta_i}-1)\).

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Authors and Affiliations

  1. Thales Australia—Joint Systems, Garden Island, NSW, 2011, Australia

    Bao Hua Liu

  2. School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia

    Chun Tung Chou & Sanjay Jha

  3. IBM T. J. Watson Research Center, Hawthorne, New York, USA

    Archan Misra

Authors
  1. Bao Hua Liu
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  2. Chun Tung Chou
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  3. Archan Misra
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  4. Sanjay Jha
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Corresponding author

Correspondence to Chun Tung Chou.

Additional information

This work was supported by the Australian Research Council Discovery Project grant DP0664791.

This work was done when Dr. Bao Hua Liu was employed as a Senior Research Associate at the University of New South Wales, Australia.

Archan Misra’s research is continuing through participation in the International Technology Alliance sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence.

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Liu, B.H., Chou, C.T., Misra, A. et al. Rate-Diversity and Resource-Aware Broadcast and Multicast in Multi-rate Wireless Mesh Networks. Mobile Netw Appl 13, 38–53 (2008). https://doi.org/10.1007/s11036-008-0029-5

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  • DOI: https://doi.org/10.1007/s11036-008-0029-5

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