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Minimum average routing path clustering problem in multi-hop 2-D underwater sensor networks

Title
Minimum average routing path clustering problem in multi-hop 2-D underwater sensor networks
Author
오희국
Keywords
Approximation algorithm; Graph theory; Wireless network clustering; Underwater sensor networks
Issue Date
2010-08
Publisher
SPRINGER HEIDELBERG
Citation
OPTIMIZATION LETTERS, v. 4, NO. 3, Page. 383-392
Abstract
In this paper, we introduce a new clustering problem in underwater sensor networks, namely minimum average routing path clustering problem (MARPCP). To deal with the high complexity of MARPCP, we relax it to a special case of minimum weight dominating set problem (MWDSP). We show an existing algorithm for MWDSP can produce an approximate solution for MARPCP. Also, we design a constant factor approximation algorithm for MARPCP, which is much faster than the first method.
URI
https://link.springer.com/article/10.1007/s11590-009-0168-zhttps://repository.hanyang.ac.kr/handle/20.500.11754/185849
ISSN
1862-4472;1862-4480
DOI
10.1007/s11590-009-0168-z
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