Distributed deterministic broadcasting in uniform-power ad hoc wireless networks

Tomasz Jurdzinski, Dariusz R. Kowalski, Grzegorz Stachowiak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations


In this work we study broadcasting in ad hoc wireless networks with uniform transmission powers, deployed in two dimensional Euclidean space.We consider two models based on the Signal-to-Interference- and-Noise Ratio (SINR): with opportunistic links, and with randomly disturbed SINR. In the former model, we deliver and analyze two algorithms: one accomplishing broadcast in O(D logg) rounds under assumption that the granularity g of the network is known, and the other without such assumption working in O(D log2 n) rounds, where n is the number of nodes and D is the diameter of the network. It is also shown how to accelerate broadcast in the model to O(D + log2 n) rounds when stations can wake up spontaneously. Finally, we modify the main two algorithms to make them efficient in the latter model with randomly disturbed SINR, with only logarithmic growth of performance.

Original languageEnglish (US)
Title of host publicationFundamentals of Computation Theory - 19th International Symposium, FCT 2013, Proceedings
Number of pages15
StatePublished - 2013
Externally publishedYes
Event19th International Symposium on Fundamentals of Computation Theory, FCT 2013 - Liverpool, United Kingdom
Duration: Aug 19 2013Aug 21 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8070 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th International Symposium on Fundamentals of Computation Theory, FCT 2013
Country/TerritoryUnited Kingdom


  • Ad hoc wireless networks
  • Broadcast problem
  • Local leader election
  • Signal-to-Interference-and-Noise- Ratio (SINR)
  • Uniform-power

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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