Building an Improved Internet of Things Smart Sensor Network Based on a Three-Phase Methodology

Jinhai Wang, Wei Chang Yeh, Neal Naixue Xiong, Jing Wang, Xiangjian He, Chia Ling Huang

Research output: Journal PublicationArticlepeer-review

13 Citations (Scopus)

Abstract

In recent years, the Internet of Things (IoT) has allowed the easy, intelligent, and efficient connection of many devices used in daily life by means of numerous smart sensors which communicate with each other using wireless signals. The rapid development of the IoT has been a result of recent advances in sensing technology. This paper proposes a three-phase methodology to improve the quality of experience for IoT system technologies. The proposed method employs the concepts of simple routing and two well-known multi-criteria decision-making method (MCDM) techniques: The Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). First, all simple routings are obtained using the proposed depth-first search technology (DFS). AHP is applied to analyze the structure of the problem and to obtain weights for various selected criteria in the second phase. In the third phase, TOPSIS is utilized to rank the simple routings, which are simple paths. A case study example is provided to demonstrate the proposed three-phase methodology. The results from the numerical experiments show that the proposed methodology can successfully achieve the aim of this paper.

Original languageEnglish
Article number8746570
Pages (from-to)141728-141737
Number of pages10
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • Analytic Hierarchy Process (AHP)
  • Internet of Things (IoT)
  • Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
  • smart sensor network

ASJC Scopus subject areas

  • Computer Science (all)
  • Materials Science (all)
  • Engineering (all)
  • Electrical and Electronic Engineering

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