QUT ePrints

Fuzzy Logic Control Based QoS Management in Wireless Sensor/Actuator Networks

Xia, Feng, Zhao, Wenhong, Sun, Youxian, & Tian, Yu-Chu (2007) Fuzzy Logic Control Based QoS Management in Wireless Sensor/Actuator Networks. Sensors, 7(12), pp. 3179-3191.

Abstract

Wireless sensor/actuator networks (WSANs) are emerging rapidly as a new generation of sensor networks. Despite intensive research in wireless sensor networks (WSNs), limited work has been found in the open literature in the field of WSANs. In particular, quality-of-service (QoS) management in WSANs remains an important issue yet to be investigated. As an attempt in this direction, this paper develops a fuzzy logic control based QoS management (FLC-QM) scheme for WSANs with constrained resources and in dynamic and unpredictable environments. Taking advantage of the feedback control technology, this scheme deals with the impact of unpredictable changes in traffic load on the QoS of WSANs. It utilizes a fuzzy logic controller inside each source sensor node to adapt sampling period to the deadline miss ratio associated with data transmission from the sensor to the actuator. The deadline miss ratio is maintained at a pre-determined desired level so that the required QoS can be achieved. The FLC-QM has the advantages of generality, scalability, and simplicity. Simulation results show that the FLC-QM can provide WSANs with QoS support.

Impact and interest:

45 citations in Scopus
Search Google Scholar™
13 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

363 since deposited on 15 Feb 2008
4 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 12497
Item Type: Journal Article
Additional Information: The contents of this journal can be freely accessed online via the journal’s web page (see hypertext link).
Additional URLs:
Keywords: wireless sensor/actuator network, quality of service, adaptive resource management, fuzzy logic control, deadline miss ratio
ISSN: 1424-8220
Subjects: Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500) > Computer Communications Networks (100503)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 MDPI
Copyright Statement: MDPI (http://www.mdpi.org). Reproduction is permitted for noncommercial purposes.
Deposited On: 15 Feb 2008
Last Modified: 29 Feb 2012 23:34

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page