Improved OLSR considering node density and residual energy of nodes in dense networks

Omuwa Oyakhire, Koichi Gyoda

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

1 Citation (Scopus)

Abstract

Recently, there is a rapid increase of connected wireless devices. This implies that networks become denser, thus an increase in control traffic and a higher consumption of bandwidth that may cause packet loss. A novel proposal to minimize control traffic in ad-hoc networks is presented. As most wireless devices are battery-powered, this proposal considers the residual energy of a node in addition to its node density when choosing its willingness to be a multipoint relay (MPR) node. Thus, battery-powered devices with residual energy below a threshold is excluded from being nominated as MPRs. The evaluation was performed in a simulation environment (Riverbed Modeler). Results show a decrease in control traffic with our proposed method.

Original languageEnglish
Title of host publicationITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages161-165
Number of pages5
ISBN (Electronic)9784885523281
Publication statusPublished - 2020 Jul
Event35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020 - Nagoya, Japan
Duration: 2020 Jul 32020 Jul 6

Publication series

NameITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications

Conference

Conference35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020
Country/TerritoryJapan
CityNagoya
Period20/7/320/7/6

Keywords

  • Ad-hoc networks
  • MPR willingness
  • OLSR
  • node density
  • residual energy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Improved OLSR considering node density and residual energy of nodes in dense networks'. Together they form a unique fingerprint.

Cite this