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

TL;DR

This paper introduces a fuzzy logic control scheme for managing QoS in wireless sensor/actuator networks, dynamically adjusting sampling to maintain performance in unpredictable environments.

Contribution

It develops a novel fuzzy logic control-based QoS management scheme specifically designed for resource-constrained and dynamic WSANs.

Findings

FLC-QM effectively maintains QoS by controlling deadline miss ratio.

Simulation demonstrates improved QoS support in WSANs.

The scheme is scalable and adaptable to changing network conditions.

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.