Distributed randomized broadcasting in wireless networks under the SINR model

Tomasz Jurdzinski, Dariusz R. Kowalski, Michal Rozanski, Grzegorz Stachowiak

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

28 Scopus citations


In the advent of large-scale multi-hop wireless technologies, such as MANET, VANET, iThings, it is of utmost importance to devise efficient distributed protocols to maintain network architecture and provide basic communication tools. One of such fundamental communication tasks is broadcast, also known as a 1-to-all communication. We present a randomized algorithm that accomplishes broadcast in O (D +log(1/δ)) rounds with probability at least 1 - δ on any uniform-power network of n nodes and diameter D, when each station is equipped with its coordinates and local estimate of network density. Next, we develop algorithms for the model where no estimate of local density is available, except of the value n of the size of a given network. First, we provide a simple and almost oblivious algorithm which accomplishes broadcast in O (D log n(log n + log(1/δ))) rounds with probability at least 1 - δ . We further enhance this algorithm with more adaptive leader election routine and show that the resulting protocol achieves better time performance O ((D + log(1/δ)) log n) with probability at least 1 - δ. Our algorithms are the first provably efficient and well-scalable randomized distributed solutions for the (global) broadcast task in the ad hoc setting with coordinates. This could be also contrasted with the complexity of broadcast by weak devices, for which such scalable algorithms (with respect to D and log n) cannot be obtained [11].

Original languageEnglish (US)
Title of host publicationDistributed Computing - 27th International Symposium, DISC 2013, Proceedings
Number of pages15
StatePublished - Dec 1 2013
Externally publishedYes
Event27th International Symposium on Distributed Computing, DISC 2013 - Jerusalem, Israel
Duration: Oct 14 2013Oct 18 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8205 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference27th International Symposium on Distributed Computing, DISC 2013


  • Ad hoc wireless networks
  • Broadcast
  • Distributed algorithms
  • Signal-to-Interference-and-Noise-Ratio (SINR) model

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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