Hybrid RPL-based sensing and routing protocol for smart city

Yahya AlSawafi*, Abderezak Touzene, Khaled Day, Nasser Alzeidi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Purpose: Wireless sensor network (WSN) and mobile crowd sensing (MCS) technologies face some challenges, especially when deployed in a large environment such as a smart city environment. WSN faces network latency, packets delivery and limited lifetime due to the nature of the used constrained internet of things small devices and low power network. On the other hand, most of the current applications that adapt MCS technology use 3G or long term evalution network to collect data and send them directly to the server. This leads to higher battery and bandwidth consumption and higher data cost. Design/methodology/approach: This paper proposes a hybrid routing protocol based on the routing protocol (RPL) protocol that combines the two wireless sensing technologies (WSN and MCS) and allows the integration between them. The aim is to use MCS nodes in an opportunistic way to support static WSN nodes to enhance the performance. Findings: The evaluation of the proposed protocol was conducted in a static WSN to study the impact of the integration on the WSN performance. The results reveal a good enhancement on packet delivery ratio (17% more), end-to-end delay (50% less) and power consumption (25% less) compared with native RPL (without MCS integration). Originality/value: The authors believe that the hybrid-RPL protocol can be useful for sensing and data collection purposes, especially in urban areas and smart city contexts.

Original languageEnglish
Pages (from-to)279-306
Number of pages28
JournalInternational Journal of Pervasive Computing and Communications
Volume16
Issue number3
DOIs
Publication statusPublished - Jul 15 2020

Keywords

  • MCS
  • Network
  • RPL
  • Routing
  • Smart City
  • WSN

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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