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

IEEE Access

Jinhai Wang¹  Wei-Chang Yeh²  Chia-Ling Huang³  Neal Naixue Xiong⁴  Jing Wang⁵  Xiangjian He⁶ 

[1] College of Electronic and Information Engineering, Foshan University, Foshan, China;Department of Industrial Engineering and Engineering Management, Integration and Collaboration Laboratory, National Tsing Hua University, Hsinchu, Taiwan;Department of Logistics and Shipping Management, Kainan University, Taoyuan, Taiwan;Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA;School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China;School of Computing and Communications, University of Technology Sydney, Sydney, NSW, Australia;

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

DOI  :  10.1109/ACCESS.2019.2925044

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown