Efficient distributed source detection with limited bandwidth

Christoph Lenzen, David Peleg

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

62 Scopus citations


Given a simple graph G = (V, E) and a set of sources SCV, denote for each node v ε V by L(∞) the lexicographically ordered list of distance/source pairs (d(s, v), s), where s ε S. For integers d, k ε NU{∞}, we consider the source detection, or (S, d, k)-detection task, requiring each node v to learn the first k entries of L(∞) (if for all of them d(s, v) ≤ d) or all entries (d(s, v),s) ε L (∞), satisfying that d(s, v) ≤ d (otherwise). Solutions to this problem provide natural generalizations of concurrent breadth-first search (BFS) tree constructions. For example, the special case of k = ∞ requires each source s ε S to build a complete BFS tree rooted at s, whereas the special case of d = ∞ and S = V requires constructing a partial BFS tree comprising at least k nodes from every node in V. In this work, we give a simple, near-optimal solution for the source detection task in the CONGEST model, where messages contain at most C(logn) bits, running in d + k rounds. We demonstrate its utility for various routing problems, exact and approximate diameter computation, and spanner construction. For those problems, we obtain algorithms in the CONGEST model that are faster and in some cases much simpler than previous solutions.

Original languageEnglish
Title of host publicationPODC 2013 - Proceedings of the 2013 ACM Symposium on Principles of Distributed Computing
Number of pages8
StatePublished - 2013
Externally publishedYes
Event2013 ACM Symposium on Principles of Distributed Computing, PODC 2013 - Montreal, QC, Canada
Duration: 22 Jul 201324 Jul 2013

Publication series

NameProceedings of the Annual ACM Symposium on Principles of Distributed Computing


Conference2013 ACM Symposium on Principles of Distributed Computing, PODC 2013
CityMontreal, QC


  • Additive spanners
  • All-to-all shortest paths
  • Bellmann-Ford
  • Compact routing
  • Concurrent incomplete breadth-first search
  • Distance and diameter computation


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