Energy and time efficient broadcasting in known topology radio networks

Leszek Ga̧sieniec, Erez Kantor, Dariusz R. Kowalski, David Peleg, Su Chang

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

10 Scopus citations

Abstract

The paper considers broadcasting protocols in radio networks with known topology that are efficient in both time and energy. The radio network is modelled as an undirected graph G = (V, E) where |V| = n. It is assumed that during execution of the communication task every node in V is allowed to transmit at most once. Under this assumption it is shown that any radio broadcast protocol requires D + Ω(√n - D) transmission rounds, where D is the diameter of G. This lower bound is complemented with an efficient construction of a deterministic protocol that accomplishes broadcasting in D + O(√n log n) rounds. Moreover, if we allow each node to transmit at most k times, the lower bound D + Ω((n - D)1/(2k)) on the number of transmission rounds holds. We also provide a randomised protocol that accomplishes broadcasting in D + O(kn1/(k-2) log2 n) rounds. The paper concludes with a discussion of several other strategies for energy efficient radio broadcasting and a number of open problems in the area.

Original languageEnglish (US)
Title of host publicationDistributed Computing - 21st International Symposium, DISC 2007, Proceedings
PublisherSpringer Verlag
Pages253-267
Number of pages15
ISBN (Print)9783540751410
DOIs
StatePublished - 2007
Externally publishedYes
Event21st International Symposium on Distributed Computing, DISC 2007 - Lemesos, Cyprus
Duration: Sep 24 2007Sep 26 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4731 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Symposium on Distributed Computing, DISC 2007
Country/TerritoryCyprus
CityLemesos
Period9/24/079/26/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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