Tracking paths

Aritra Banik, Matthew J. Katz, Eli Packer, Marina Simakov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We consider several problems dealing with tracking of mov-ing objects (e.g., vehicles) in networks. Given a graph G = (V, E) and two vertices (formula presented), a set of vertices T ⊆ V is a tracking set for G (w.r.t. paths from s to t), if one can distinguish between any two paths from s to t by the order in which the vertices of T appear (or do not appear) in them. We prove that the problem of finding a minimum-cardinality tracking set w.r.t. shortest paths from s to t is NP-hard and even APX-hard. On the other hand, for the common case where G is planar, we present a 2-approximation algorithm for this problem. We also consider the following related problem: Given a graph G, two vertices s and t, and a set of forbidden vertices VF⊆ V − {s, t}, find a minimum-cardinality set of trackers V⊂ V, such that a shortest path P from s to t passes through a forbidden vertex if and only if it passes through a vertex of V. We present a polynomial-time (exact) algorithm for this problem.

Original languageAmerican English
Title of host publicationAlgorithms and Complexity - 10th International Conference, CIAC 2017, Proceedings
EditorsDimitris Fotakis, Aris Pagourtzis, Vangelis Th. Paschos
PublisherSpringer Verlag
Pages67-79
Number of pages13
ISBN (Print)9783319575858
DOIs
StatePublished - 1 Jan 2017
Event10th International Conference on Algorithms and Complexity, CIAC 2017 - Athens, Greece
Duration: 24 May 201726 May 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10236 LNCS

Conference

Conference10th International Conference on Algorithms and Complexity, CIAC 2017
Country/TerritoryGreece
CityAthens
Period24/05/1726/05/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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