MCDM-Based Routing for IoT-Enabled Smart Water Distribution Network

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


The work consists of two subapproaches. 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 (M-LRP). The water distribution network has three components static water source, the utility center (UC) which can be located in the proper position, and the consumer. The objective of this work is to select an optimal route between the UC and the consumer by considering multiple criteria. The simulation result shows that the proposed multicriterion-based decision-making (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)1-1
Number of pages10
JournalIEEE Internet of Things Journal
Issue number5
Publication statusPublished - Mar 1 2023


  • Directional
  • Internet of Things (IoT)
  • fuzzy data
  • multicriterion-based decision making (MCDM)
  • optimization
  • smart water
  • uncertainty

ASJC Scopus subject areas

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

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