A revised BROGO algorithm for leader election in wireless sensor and IoT networks

  • Ahcene Bounceur
  • , Madani Bezoui
  • , Reinhardt Euler
  • , Farid Lalem
  • , Massinissa Lounis

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

10 Scopus citations

Abstract

The BROGO algorithm has been recently presented for Leader Election in Wireless Sensor and IoT Networks, where after finding a spanning tree of a network, each leaf will route a message through its branch to the root in order to determine the leader in that branch. The root will then elect the global leader among the received branch leaders. The main drawback of this algorithm is a possible failure of the root node before the beginning of the election process. In this paper, we propose a revised version of the BROGO algorithm in which the non-faulty node with the smallest identifier is considered as a root. This can be done using the Wait-Before-Starting (WBS) concept, which guarantees a maximum of reliability and quality of service. The obtained results show that this process has no impact on the initial energy consumption generated by the BROGO algorithm.

Original languageEnglish
Title of host publicationIEEE SENSORS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781509010127
DOIs
StatePublished - 21 Dec 2017
Externally publishedYes
Event16th IEEE SENSORS Conference, ICSENS 2017 - Glasgow, United Kingdom
Duration: 30 Oct 20171 Nov 2017

Publication series

NameProceedings of IEEE Sensors
Volume2017-December
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference16th IEEE SENSORS Conference, ICSENS 2017
Country/TerritoryUnited Kingdom
CityGlasgow
Period30/10/171/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A revised BROGO algorithm for leader election in wireless sensor and IoT networks'. Together they form a unique fingerprint.

Cite this