MCDM Based Routing for IoT Enabled Smart Water Distribution Network

Hitesh Mohapatra, Bhabendu Kumar Mohanta, Mohammad Reza Nikoo, Mahmoud Daneshmand, Amir H. Gandomi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


The work consists of two sub-approaches. In the first approach, an analytical model is developed using trapezium fuzzy numbers in decision-making problems for an internet of things based water distribution network. The second phase explains the integration of the previous phase with the MCDM-based location routing protocol. The water distribution network has three components static water source, the utility center which can be located in the proper position, and the consumer. The objective of this work is to select an optimal route between the utility center and the consumer by considering multiple criteria. The simulation result shows that the proposed MCDM-based routing protocol outperforms both existing MCDM-based and non-MCDM-based routing schemes. The proposed model outperforms the existing models like Non-MCDM-based and MCDM-based routing protocols by 51% and 11%, respectively.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Internet of Things Journal
Publication statusAccepted/In press - 2022


  • Decision making
  • directional
  • Distribution networks
  • fuzzy data
  • Internet of things
  • Internet of Things
  • MCDM
  • optimization
  • Routing
  • Routing protocols
  • smart water
  • uncertainty
  • Uncertainty
  • Water resources

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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