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Local approximation schemes for topology control
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Source Annual ACM Symposium on Principles of Distributed Computing archive
Proceedings of the twenty-fifth annual ACM symposium on Principles of distributed computing table of contents
Denver, Colorado, USA
SESSION: Graph algorithms table of contents
Pages: 208 - 217  
Year of Publication: 2006
ISBN:1-59593-384-0
Authors
Mirela Damian  Villanova Univ., Villanova, PA
Saurav Pandit  Univ. of Iowa, Iowa City, IA
Sriram Pemmaraju  Univ. of Iowa, Iowa City, IA
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a distributed algorithm for wireless ad-hoc networks that runs in polylogarithmic number of rounds in the size of the network and constructs a lightweight, linear size, (1+ε)-spanner for any given ε > 0. A wireless network is modeled by a d-dimensional α-quasi unit ball graph (α-UBG), which is a higher dimensional generalization of the standard unit disk graph (UDG) model. The d-dimensional α-UBG model goes beyond the unrealistic "flat world" assumption of UDGs and also takes into account transmission errors, fading signal strength, and physical obstructions. The main result in the paper is this: for any fixed ε > 0, 0 < α ≤ 1, and d ≥ 2 there is a distributed algorithm running in O(log n•log* n) communication rounds on an n-node, d-dimensional α-UBG G that computes a (1+ε)-spanner G' of G with maximum degree Δ(G') = O(1) and total weight w(G') = O(w(MST(G)). This result is motivated by the topology control problem in wireless ad-hoc networks and improves on existing topology control algorithms along several dimensions. The technical contributions of the paper include a new, sequential, greedy algorithm with relaxed edge ordering and lazy updating, and clustering techniques for filtering out unnecessary edges.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Mirela Damian: colleagues
Saurav Pandit: colleagues
Sriram Pemmaraju: colleagues