A reliable wireless communication mechanisms and decision support system for the IoT networks

Bo Jin, Fazlullah Khan, Ryan Alturki, Mohammed Abdulaziz Ikram

Research output: Journal PublicationArticlepeer-review

4 Citations (Scopus)

Abstract

Due to the overwhelming characteristics of the IoT (Internet of Things), it has been used in different application areas to monitor various activities continuously. However, the development of a reliable decision support system (DSS) and communication approach are among the core issues associated with the traditional networking infrastructures in general and IoT in particular. Numerous communication mechanisms have been reported in the literature to address these issues in traditional and resource constraint networks. In this paper, a networking parametric ensemble-based wireless communication approach is presented to ensure reliable transmission of the packets from source to destination in the IoT networks. The proposed approach bounds every member device to collect valuable data from the neighboring devices, preferably those with minimum hop count value, to find the most optimal neighboring device and enforce an optimal path for onward communication in the IoT networks. Additionally, a reliable and efficient DSS is presented preferably for servers to refine the captured data before processing which enhances the accuracy. Simulation results have verified the exceptional performance of the proposed DSS on real-time and benchmark datasets in terms of various evaluation metrics in the IoT networks, with the accuracy of the proposed DSS being around 95%.

Original languageEnglish
JournalSoft Computing
DOIs
Publication statusPublished - Oct 2022
Externally publishedYes

Keywords

  • Data fusion
  • Decision support system
  • Internet of Things
  • Routing
  • Wireless communication

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Geometry and Topology

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