Context-Aware RPL-Based Mobile Crowd Sensing and Routing Protocol for Smart City Networks

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

1 Citation (Scopus)

Abstract

Several smart city monitoring applications use Mobile Crowd Sensing (MCS) technology to collect surrounding data events and send them to a central location for analysis. However, the majority of these applications use infrastructure networks that use direct communication (LTE, 5G) to transfer these data to the remote server. This leads to an increase in the load of the network bandwidth and comes at a higher data cost as well. This paper proposes an infrastructure-less routing protocol for MCS based on RPL (Routing Protocol for Low Power and Lossy Networks). However, RPL does not support mobility, and therefore, the proposed protocol is context-aware that adapts to the status and mobility of the nodes. The conducted performance evaluation reveals that the protocol performs better than the RPL in terms of packet delivery ratio (22% higher) and power consumption, due to the mobility management and the reduction in the control packet overhead (60% in low-medium mobility).

Original languageEnglish
Title of host publication2020 International Wireless Communications and Mobile Computing, IWCMC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1830-1835
Number of pages6
ISBN (Electronic)9781728131290
DOIs
Publication statusPublished - Jun 2020
Event16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020 - Limassol, Cyprus
Duration: Jun 15 2020Jun 19 2020

Publication series

Name2020 International Wireless Communications and Mobile Computing, IWCMC 2020

Conference

Conference16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020
Country/TerritoryCyprus
CityLimassol
Period6/15/206/19/20

Keywords

  • IoT
  • MCS
  • RPL
  • Routing
  • Sensing
  • Smart City
  • WSN

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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