This paper deals with a study of a problem for finding the minimum-cost spanning tree with a response-time bound. The relation of cost and response-time is given as a monotonous decreasing and convex function. Regarding communication bandwidth as cost in an information network, this problem means a minimum-cost tree shaped routing for response-time constrained broadcasting, where any response-time from a root vertex to other vertex is less than a given time bound. This problem is proven to be NP-hard and consists of the minimum-cost assignment to a rooted tree and the minimum-cost tree finding. A nonlinear programming algorithm solves the former problem for the globally optimal solution. For the latter problem, different types of heuristic algorithms evaluate to find a near optimal solution experimentally.
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Norihiko SHINOMIYA, Hiroshi TAMURA, Hitoshi WATANABE, "A Study of Minimum-Cost Tree Problem with Response-Time Bound in Information Network" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 2, pp. 638-646, February 2001, doi: .
Abstract: This paper deals with a study of a problem for finding the minimum-cost spanning tree with a response-time bound. The relation of cost and response-time is given as a monotonous decreasing and convex function. Regarding communication bandwidth as cost in an information network, this problem means a minimum-cost tree shaped routing for response-time constrained broadcasting, where any response-time from a root vertex to other vertex is less than a given time bound. This problem is proven to be NP-hard and consists of the minimum-cost assignment to a rooted tree and the minimum-cost tree finding. A nonlinear programming algorithm solves the former problem for the globally optimal solution. For the latter problem, different types of heuristic algorithms evaluate to find a near optimal solution experimentally.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_2_638/_p
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@ARTICLE{e84-a_2_638,
author={Norihiko SHINOMIYA, Hiroshi TAMURA, Hitoshi WATANABE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Study of Minimum-Cost Tree Problem with Response-Time Bound in Information Network},
year={2001},
volume={E84-A},
number={2},
pages={638-646},
abstract={This paper deals with a study of a problem for finding the minimum-cost spanning tree with a response-time bound. The relation of cost and response-time is given as a monotonous decreasing and convex function. Regarding communication bandwidth as cost in an information network, this problem means a minimum-cost tree shaped routing for response-time constrained broadcasting, where any response-time from a root vertex to other vertex is less than a given time bound. This problem is proven to be NP-hard and consists of the minimum-cost assignment to a rooted tree and the minimum-cost tree finding. A nonlinear programming algorithm solves the former problem for the globally optimal solution. For the latter problem, different types of heuristic algorithms evaluate to find a near optimal solution experimentally.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - A Study of Minimum-Cost Tree Problem with Response-Time Bound in Information Network
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 638
EP - 646
AU - Norihiko SHINOMIYA
AU - Hiroshi TAMURA
AU - Hitoshi WATANABE
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2001
AB - This paper deals with a study of a problem for finding the minimum-cost spanning tree with a response-time bound. The relation of cost and response-time is given as a monotonous decreasing and convex function. Regarding communication bandwidth as cost in an information network, this problem means a minimum-cost tree shaped routing for response-time constrained broadcasting, where any response-time from a root vertex to other vertex is less than a given time bound. This problem is proven to be NP-hard and consists of the minimum-cost assignment to a rooted tree and the minimum-cost tree finding. A nonlinear programming algorithm solves the former problem for the globally optimal solution. For the latter problem, different types of heuristic algorithms evaluate to find a near optimal solution experimentally.
ER -