Title :
A self-stabilizing algorithm for the distributed minimal k-redundant dominating set problem in tree networks
Author :
Kamei, Sayaka ; Kakugawa, Hirotsugu
Author_Institution :
Dept. of Inf. Eng., Hiroshima Univ., Japan
Abstract :
Self-stabilization is a theoretical framework of nonmasking fault-tolerant distributed algorithms. We investigate self-stabilizing distributed solutions to the minimal k-redundant dominating set (MRDS) problem in tree networks. The MRDS problem is a generalization of the well-known dominating set problem in graph theory. For a graph G=(V,E), a set M⊆V is a k-redundant dominating set of G if and only if each vertex not in M is adjacent to at least k vertices in M. We propose a self-stabilizing distributed algorithm that solves the MRDS problem for anonymous tree networks.
Keywords :
computational complexity; distributed algorithms; fault tolerant computing; set theory; trees (mathematics); anonymous tree network; graph theory; minimal k-redundant dominating set problem; nonmasking fault-tolerant algorithm; self-stabilization distributed algorithm; vertices; Computer networks; Distributed algorithms; Educational technology; Fault tolerance; Graph theory; Intelligent networks; Network servers; Network topology; Personal digital assistants; Tree graphs;
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on
Print_ISBN :
0-7803-7840-7
DOI :
10.1109/PDCAT.2003.1236399