On optimal neighbor discovery

Philipp H. Kindt, Samarjit Chakraborty

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

Mobile devices apply neighbor discovery (ND) protocols to wirelessly initiate a first contact within the shortest possible amount of time and with minimal energy consumption. For this purpose, over the last decade, a vast number of ND protocols have been proposed, which have progressively reduced the relation between the time within which discovery is guaranteed and the energy consumption. In spite of the simplicity of the problem statement, even after more than 10 years of research on this specific topic, new solutions are still proposed even today. Despite the large number of known ND protocols, given an energy budget, what is the best achievable latency still remains unclear. This paper addresses this question and for the first time presents safe and tight, duty-cycle-dependent bounds on the worst-case discovery latency that no ND protocol can beat. Surprisingly, several existing protocols are indeed optimal, which has not been known until now. We conclude that there is no further potential to improve the relation between latency and duty-cycle, but future ND protocols can improve their robustness against beacon collisions.

Original languageEnglish
Title of host publicationSIGCOMM 2019 - Proceedings of the 2019 Conference of the ACM Special Interest Group on Data Communication
PublisherAssociation for Computing Machinery, Inc
Pages441-457
Number of pages17
ISBN (Electronic)9781450359566
DOIs
StatePublished - 19 Aug 2019
Event50th Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2019 - Beijing, China
Duration: 19 Aug 201923 Aug 2019

Publication series

NameSIGCOMM 2019 - Proceedings of the 2019 Conference of the ACM Special Interest Group on Data Communication

Conference

Conference50th Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2019
Country/TerritoryChina
CityBeijing
Period19/08/1923/08/19

Keywords

  • MANETs
  • Neighbor Discovery
  • Sensor Networks

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