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

Sensors

Feng Xia¹  Wenhong Zhao²  Youxian Sun³ 

[1] Faculty of Information Technology, Queensland University of Technology, Brisbane QLD 4001, Australia; E-mail:;Precision Engineering Laboratory, Zhejiang University of Technology, Hangzhou 310014, China;State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China

关键词: wireless sensor;    actuator network;    quality of service;    adaptive resource management;    fuzzy logic control;   

DOI  :  10.3390/s7123179

来源: mdpi

【 摘 要 】

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.

【 授权许可】

Unknown   
© 2007 by MDPI (http://www.mdpi.org).