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Approximating node-weighted multicast trees in wireless ad-hoc networks
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Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly table of contents
Leipzig, Germany
SESSION: Physical & synchronization (Wireless Sensor Networks symp.) table of contents
Pages 639-643  
Year of Publication: 2009
ISBN:978-1-60558-569-7
Authors
Thomas Erlebach  University of Leicester, UK
Ambreen Shahnaz  University of Leicester, UK
Sponsors
ACM: Association for Computing Machinery
: Wiley-Blackwell
Publisher
ACM  New York, NY, USA
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ABSTRACT

Multicast communication in a wireless ad-hoc network can be established using a tree that spans the multicast sender and receivers as well as other intermediate nodes. If the network is modelled as a graph, the multicast tree is a Steiner tree, the multicast sender and receivers correspond to terminals, and other nodes participating in the tree are Steiner nodes. As Steiner nodes are nodes that participate in the multicast tree by forwarding packets but do not benefit from the multicast, it is a natural objective to compute a tree that minimizes the total cost of the Steiner nodes. We therefore consider the problem of computing, for a given node-weighted graph and a set of terminals, a Steiner tree with Steiner nodes of minimum total weight. For graph classes that admit spanning trees of maximum degree at most d, we obtain a 0.775d-approximation algorithm. We show that this result implies a 3.875-approximation algorithm for unit disk graphs, an O(1/α2)-approximation algorithm for α-unit disk graphs, and an O(λ)-approximation algorithm for (λ + 1)-claw-free graphs.


REFERENCES

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Collaborative Colleagues:
Thomas Erlebach: colleagues
Ambreen Shahnaz: colleagues