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Deterministic broadcasting time in radio networks of unknown topology

*Corresponding author for this work
  • University of Warsaw
    ,
  • Univ. du Québec à Hull
Scholary Output:
Contribution to journal
Conference article
Peer-review

Related Event

Title

The 34rd Annual IEEE Symposium on Foundations of Computer Science

Event type

Conference

Date

11/16/2002 - 11/19/2002

Location

Vancouver, BCCanada

Abstract

In a seminal paper [3], Bar-Yehuda, Goldreich and Itai considered broadcasting in radio networks whose nodes know only their own label and labels of their neighbors. They claimed a linear lower bound on the time of deterministic broadcasting in such radio networks, by constructing a class of graphs of diameter 3, with the property that every broadcasting algorithm requires linear time on one of these graphs. Due to a subtle error in the argument, this result is incorrect. We construct an algorithm that broadcasts in logarithmic time on all graphs from [3]. Moreover, we show how to broadcast in sublinear time on all n-node graphs of diameter o(log log n). On the other hand, we construct a class of graphs of diameter 4, such that every broadcasting algorithm requires time Ω(4√n) on one of these graphs. In view of the randomized algorithm from [3], running in expected time O(D log n + log2 n) on all n-node graphs of diameter D, our lower bound gives the first correct proof of an exponential gap between determinism and randomization in the time of radio broadcasting.

Publication Information

Output type

Scholary Output:
Contribution to journal
Conference article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 63-72 (10 pages)

Journal (Volume, Issue Number)

Annual Symposium on Foundations of Computer Science - Proceedings

Publication milestones

  • Published - 2002

Publication status

Published - 2002

ISSN

0272-5428

Publication IDs

  • Scopus: 0036949098

Publication metrics

Metrics

Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
citations
49
SciVal
FWCI
4.77
SciVal
Author count
2
SciVal
Paper percentile
85

PlumX

Citation count
54