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Time efficient gossiping in known radio networks

  • Leszek Ga̧sieniec(corresponding author)
    ,
  • Igor Potapov
    ,
  • Qin Xin
*Corresponding author for this work
  • University of Liverpool
Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Abstract

We study here the gossiping problem (all-to-all communication) in known radio networks, i.e., when all nodes are aware of the network topology. We start our presentation with a deterministic algorithm for the gossiping problem that works in at most n units of time in any radio network of size n. This is an optimal algorithm in the sense that there exist radio network topologies, such as: a line, a star and a complete graph in which the radio gossiping cannot be completed in less then n units of time. Furthermore, we show that there isn't any radio network topology in which the gossiping task can be solved in time < ⌊log(n - 1)⌋ + 2. We show also that this lower bound can be matched from above for a fraction of all possible integer values of n; and for all other values of n we propose a solution admitting gossiping in time ⌈log(n - 1)⌉ + 2. Finally we study asymptotically optimal O(D)-time gossiping (where D is a diameter of the network) in graphs with max-degree Δ = O(D1-1/(i+1)/ logi n), for any integer constant i ≥ 0 and D large enough.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Original language

English (US)

Pages from-to (Number of pages)

Pages 173-184 (12 pages)

Publication milestones

  • Published - 2004

Publication status

Published - 2004

Publisher

Springer Verlag

Publication series

  • Publication series name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISSN (Print): 0302-9743
    ISSN (Electronic): 1611-3349
    Volume: 3104
3540222308

Publication IDs

  • Scopus: 35048872744

Host publication title

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

Host publication editors

  • Rastislav Kralovic
  • Ondrej Sykora

Publication metrics

Metrics

Scopus
citations
SciVal
FWCI
3.29
SciVal
Author count
3
SciVal
citations
25
SciVal
Paper percentile
74
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1

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Citation count
26
Captures
2