Abstract

AbstractThis article describes a node capacitated in‐tree packing problem. The input consists of a directed graph, a root node, a node capacity function, and edge consumption functions. The problem is to find the maximum number of rooted in‐trees, such that the total consumption of in‐trees at each node does not exceed the capacity of the node. The problem is one of the network lifetime problems that are among the most important issues in the context of sensor networks. We establish the computational complexity of the problem under various restrictions on consumption functions and graphs. For example, we consider general graphs, acyclic graphs, and complete graphs embedded in the d ‐dimensional space \input amssym ${\Bbb{R}}^d$ having edge consumption functions depending only on distances between end nodes. © 2011 Wiley Periodicals, Inc. NETWORKS, 2012

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