Black Hole Search: Dynamics, Distribution, and Emergence
Tanvir Kaur, Ashish Saxena, Partha Sarathi Mandal, Kaushik Mondal

TL;DR
This paper advances black hole search algorithms in dynamic graphs, providing solutions for scattered initial configurations and the Eventual Black Hole Search problem in static graphs, with improved agent efficiency and minimal assumptions.
Contribution
It introduces an algorithm for BHS with 2δ_{BH}+17 agents in scattered initial setups and extends Eventual Black Hole Search to arbitrary static graphs with four agents, requiring no global knowledge.
Findings
Matching asymptotic efficiency with rooted algorithms in dynamic graphs
Solution for Eventual Black Hole Search in arbitrary static graphs with four agents
No need for global parameters in the Eventual Black Hole Search algorithm
Abstract
A black hole is a malicious node in a graph that destroys resources entering into it without leaving any trace. The problem of Black Hole Search (BHS) using mobile agents requires that at least one agent survives and terminates after locating the black hole. Recently, this problem has been studied on 1-bounded 1-interval connected dynamic graphs \cite{BHS_gen}, where there is a footprint graph, and at most one edge can disappear from the footprint in a round, provided that the graph remains connected. In this setting, the authors in \cite{BHS_gen} proposed an algorithm that solves the BHS problem when all agents start from a single node (rooted initial configuration). They also proved that at least agents are necessary to solve the problem when agents are initially placed arbitrarily across the nodes of the graph (scattered initial configuration), where …
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Taxonomy
TopicsOptimization and Search Problems · Distributed systems and fault tolerance · Mobile Agent-Based Network Management
