Broadcast Graph Is NP-complete
Jinghan Xu, Zhiyuan Li

TL;DR
This paper proves that determining whether a graph has a broadcast time equal to the theoretical minimum is NP-complete, establishing the computational difficulty of identifying optimal broadcast topologies.
Contribution
It demonstrates that the Broadcast Graph problem is NP-complete and refines the complexity bounds for the broadcast center size problem.
Findings
Proves Broadcast Graph is NP-complete via reduction from Broadcast Time.
Establishes Broadcast Center Size as delta^2_p-complete and DP-hard.
Provides complexity bounds for broadcast center identification.
Abstract
The broadcast model is widely used to describe the process of information dissemination from a single node to all nodes within an interconnected network. In this model, a graph represents the network, where vertices correspond to nodes and edges to communication links. The efficiency of this broadcasting process is evaluated by the broadcast time, the minimum discrete time units required to broadcast from a given vertex. Determining the broadcast time is referred to as the problem Broadcast Time. The set of vertices with the minimum broadcast time among the graph is called the broadcast center. Identifying this center or determining its size are both proven to be NP-hard. For a graph with n vertices, the minimum broadcast time is at least ceil(log2 n). The Broadcast Graph problem asks in a graph of n vertices, whether the broadcast time from any vertex equals ceil(log2 n). Extensive…
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Taxonomy
TopicsDNA and Biological Computing · Algorithms and Data Compression · Cellular Automata and Applications
