Next Article in Journal
Research on a Fast-Response Thermal Conductivity Sensor Based on Carbon Nanotube Modification
Next Article in Special Issue
An Intelligent Computing Method for Contact Plan Design in the Multi-Layer Spatial Node-Based Internet of Things
Previous Article in Journal
Benefits and Limitations of the Record and Replay Approach for GNSS Receiver Performance Assessment in Harsh Scenarios
Previous Article in Special Issue
Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(7), 2190; https://doi.org/10.3390/s18072190

A Dynamic Estimation of Service Level Based on Fuzzy Logic for Robustness in the Internet of Things

1,2
,
1,2
,
1,2
and
3,*
1
School of Computer Science, Inner Mongolia University, Hohhot 010021, China
2
Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing, Hohhot 010021, China
3
School of Computing and Information Sciences, Florida International University, 11200 S.W. 8th Street, Miami, FL 33199, USA
*
Author to whom correspondence should be addressed.
Received: 18 May 2018 / Revised: 1 July 2018 / Accepted: 1 July 2018 / Published: 7 July 2018
Full-Text   |   PDF [431 KB, uploaded 7 July 2018]   |  

Abstract

The Internet of things (IoT) technology is developing rapidly, and the IoT services are penetrating broadly into every aspect of people’s lives. As the large amount of services grows dramatically, how to discover and select the best services dynamically to satisfy the actual needs of users in the IoT service set, the elements of which have the same function, is an unavoidable issue. Therefore, for the robustness of the IoT system, evaluating the quality level of the IoT service to provide a reference for the users choosing the most appropriate service has become a hot topic. Most of the current methods just use some static data to evaluate the quality of the service and ignore the dynamic changing trend of the service performance. In this paper, an estimation mechanism for the quality level of the IoT service based on fuzzy logic is conducted to grade the quality of the service. Specifically, the comprehensive factors are taken into account according to the defined level changing rules and the effect of the service in the previous execution process, so that it can provide users with an effective reference. Experiments are carried out by using a simulated service set. It is shown that the proposed algorithm can estimate the quality level of the service more comprehensively and reasonably, which is evidently superior to the other two common methods, i.e., the estimating method by a Randomization Test (RT) and the estimating method by a Single Test in Steps (STS). View Full-Text
Keywords: Internet of Things; fuzzy logic; service level; estimation; changing rules Internet of Things; fuzzy logic; service level; estimation; changing rules
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Jia, B.; Hao, L.; Zhang, C.; Chen, D. A Dynamic Estimation of Service Level Based on Fuzzy Logic for Robustness in the Internet of Things. Sensors 2018, 18, 2190.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top