Performance Analysis of a New Energy-Aware RPL Routing Objective Function for Internet of Things

Abderezak Touzene, Asma Al Kalbani, Khaled Day, Nasser Al Zidi

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

3 Citations (Scopus)

Abstract

In recent years, there has been an increasing interest in Internet of Things (IoT). IoT wireless networks are formed of several small devices encompassing the capability of sensing a physical characteristic and sending it hop by hop to a central node or base station. Wireless sensor networks are also termed as Low Power and Lossy Networks (LLNs). Designing an energy efficient routing protocol for LLNs is very important to prolong the lifetime of the IoT network. We propose a new energy-aware objective function for the RPL routing protocol which combines the nodes link quality and their residual energy to improve the network latency and at the same time prolong the life of the sensor nodes. Experimental results using COOJA simulator show an improvement in terms of network latency and remaining energy of around 10% for our protocol ETX-ENR compared to a recently published Fuzzy Logic objective function.

Original languageEnglish
Title of host publication2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728171166
ISBN (Print)9781728171166
DOIs
Publication statusPublished - Jun 2020
Event2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020 - Istanbul, Turkey
Duration: Jun 12 2020Jun 13 2020

Publication series

Name2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020

Conference

Conference2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
Country/TerritoryTurkey
CityIstanbul
Period6/12/206/13/20

Keywords

  • Contiki operating system
  • Cooja simulator
  • Internet of Things
  • Routing protocols
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Health Informatics

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