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Approximating minimum size weakly-connected dominating sets for clustering mobile ad hoc networks
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Source International Symposium on Mobile Ad Hoc Networking & Computing archive
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing table of contents
Lausanne, Switzerland
SESSION: Scalability table of contents
Pages: 165 - 172  
Year of Publication: 2002
ISBN:1-58113-501-7
Authors
Yuanzhu Peter Chen  Simon Fraser University, British Columbia, Canada
Arthur L. Liestman  Simon Fraser University, British Columbia, Canada
Sponsor
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 20,   Downloads (12 Months): 102,   Citation Count: 27
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ABSTRACT

We present a series of approximation algorithms for finding a small weakly-connected dominating set (WCDS) in a given graph to be used in clustering mobile ad hoc networks. The structure of a graph can be simplified using WCDS's and made more succinct for routing in ad hoc networks. The theoretical performance ratio of these algorithms is O(ln Δ) compared to the minimum size WCDS, where Δ is the maximum degree of the input graph. The first two algorithms are based on the centralized approximation algorithms of Guha and Khuller cite guha-khuller-1998 for finding small connected dominating sets (CDS's). The main contribution of this work is a completely distributed algorithm for finding small WCDS's and the performance of this algorithm is shown to be very close to that of the centralized approach. Comparisons between our work and some previous work (CDS-based) are also given in terms of the size of resultant dominating sets and graph connectivity degradation.


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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Dennis Baker, Anthony Ephremides, and Julia A. Flynn. The design and simulation of a mobile radio network with distributed control. IEEE Journal on Selected Areas in Communications, SAC-2(1):226--237, 1984.
 
3
S. Banerjee and S. Khuller. A clustering scheme for hierarchical routing in wireless networks. Technical Report CS-TR-4103, University of Maryland, College Park, February 2000.
 
4
5
6
 
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Geng Chen and Ivan Stojmenovic. Clustering and routing in mobile wireless networks. Technical Report TR-99-05, SITE, June 1999.
 
8
 
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Bevan Das and Vaduvur Bharghavan. Routing in ad-hoc networks using minimum connected dominating sets. In IEEE International Conference on Communications (ICC'97), June 1997.
 
10
11
 
12
 
13
 
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Sudipto Guha and Samir Khuller. Approximation algorithms for connected dominating sets. Algorithmica, 20(4):374--387, 1998.
 
15
Teresa W. Haynes, Stephen T. Hedetniemi, and Peter J. Slater. Fundamentals of Domination in graphs. Marcel Dekker, Inc., 1998.
16
 
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Elizabeth M. Royer and Chai-Keong Toh. A review of current routing protocols for ad-hoc mobile wireless networks. IEEE Personal Communications, pages 46--55, 4 1999.
 
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Jie Wu and Hailan Li. On calculating connected dominating set for efficient routing in ad

CITED BY  27

Collaborative Colleagues:
Yuanzhu Peter Chen: colleagues
Arthur L. Liestman: colleagues