Paper Info
Title
Building an Improved Internet of Things Smart Sensor Network Based on a Three-Phase Methodology.
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.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2925044
IEEE ACCESS
Keywords
DocType
Volume
Reliability,Internet of Things,Wireless sensor networks,Optimization,Intelligent sensors,Magnetic sensors,Internet of Things (IoT),smart sensor network,Analytic Hierarchy Process (AHP),Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
Journal
7
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Jinhai Wang101.01
Wei-Chang Yeh2107178.35
N. Xiong336031.30
Jing Wang400.34
Xiangjian He5932132.03
Chia-Ling Huang610.69