RPL enhancement using a new objective function based on combined metrics

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

52 Citations (Scopus)

Abstract

The routing protocol for low-power and lossy networks (RPL) defines an objective function (OF) to choose the optimal route toward destination. OF can operate according to a set of metrics and constraints used in a single or combined way. The use of a single metric in the OF can improve routing performances while degrades others. To overcome these limitations, we present in this paper a new approach to enhance the RPL routing protocol. We propose OF-EC (objective function based combined metric using fuzzy logic method), a new objective function that considers both link and node metrics, namely ETX (expected transmission count), HC (hop count) and EC (energy consumption) based on fuzzy logic concepts. Our results show that the new OF-EC in comparison to the OF based ETX and OF based energy consumption only and OF-FUZZY allows improving RPL performances in terms of PDR and overhead. In addition, this new metric allows equalizing the energy consumption of nodes throughout the network.

Original languageEnglish
Title of host publication2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1459-1464
Number of pages6
ISBN (Electronic)9781509043729
DOIs
Publication statusPublished - Jul 19 2017
Externally publishedYes
Event13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 - Valencia, Spain
Duration: Jun 26 2017Jun 30 2017

Publication series

Name2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017

Other

Other13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Country/TerritorySpain
CityValencia
Period6/26/176/30/17

Keywords

  • Energy consumption
  • ETX
  • Fuzzy Logic
  • Objective Function
  • RPL

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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