FL-Trickle: New Enhancement of Trickle Algorithm for Low Power and Lossy Networks

Hanane Lamaazi, Nabil Benamar, Nassima El Kahili, Tarik Taleb

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

2 Citations (Scopus)
70 Downloads (Pure)

Abstract

The Trickle algorithm is one of the main components of the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL). Trickle is used to maintain and to control messages in the network. However, this algorithm has some limitations in terms of power consumption, overhead, and convergence time. In this paper, we present a new improvement of the Standard Trickle algorithm, named Flexible Trickle Algorithm (FL-Trickle). Based on the T time parameters and the Minimum Interval values, the new trickle allows reducing the delay needed to transmit control messages as well as the transmission rate. A comparison has been made between the FL-Trickle, the standard Trickle and the Trickle-Plus algorithms. Simulation results show that our proposed approach outperforms both the standard trickle and the Trickle-Plus in terms of convergence time, overhead and energy consumption. FL-Trickle increases the convergence time by up 58%, reduces the overhead by up to 69% and the energy consumption by up to 62%.

Original languageEnglish
Title of host publication2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
PublisherIEEE
ISBN (Electronic)9781538676462
DOIs
Publication statusPublished - 1 Apr 2019
MoE publication typeA4 Article in a conference publication
EventIEEE Wireless Communications and Networking Conference - Marrakech, Morocco
Duration: 15 Apr 201919 Apr 2019

Publication series

NameIEEE Wireless Communications and Networking Conference
ISSN (Print)1525-3511
ISSN (Electronic)1558-2612

Conference

ConferenceIEEE Wireless Communications and Networking Conference
Abbreviated titleWCNC
CountryMorocco
CityMarrakech
Period15/04/201919/04/2019

Keywords

  • Internet of Things
  • LLNs
  • RPL
  • Trickle Algorithm

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