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End-to-end packet-scheduling in wireless ad-hoc networks
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Source Symposium on Discrete Algorithms archive
Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
New Orleans, Louisiana
SESSION: Session 12A table of contents
Pages: 1021 - 1030  
Year of Publication: 2004
ISBN:0-89871-558-X
Authors
V. S. Anil Kumar  Los Alamos National Labo ratory, Los Alamos, NM
Madhav V. Marathe  Los Alamos National Labo ratory, Los Alamos, NM
Srinivasan Parthasarathy  University of Maryland, College Park, MD
Aravind Srinivasan  University of Maryland, College Park, MD
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 80,   Citation Count: 10
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ABSTRACT

Packet-scheduling is a particular challenge in wireless networks due to interference from nearby transmissions. A distance-2 interference model serves as a useful abstraction here, and we study packet routing and scheduling under this model. The main focus of our work is the development of fully-distributed (decentralized) protocols. We present polylogarithmic/constant factor approximation algorithms for various families of disk graphs (which capture the geometric nature of wireless-signal propagation), as well as near-optimal approximation algorithms for general graphs. The packet-scheduling work by L eighton, Maggs and Rao (Combinatorica, 1994) and a basic distributed coloring procedure, originally due to Luby (J. Computer and System Sciences, 1993), underlie many of our algorithms. Experimental work of Finocchi, Panconesi, and Silvestri (SODA 2002) showed that a natural modification of Luby's algorithm leads to improved performance, and a rigorous explanation of this was left as an open question; we prove that the modified algorithm is provably better in the worst-case. Finally, using simulations, we study the impact of the routing strategy and the choice of parameters on the performance of our distributed algorithm for unit disk graphs.


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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CITED BY  10
Collaborative Colleagues:
V. S. Anil Kumar: colleagues
Madhav V. Marathe: colleagues
Srinivasan Parthasarathy: colleagues
Aravind Srinivasan: colleagues