Fuzzy-Based Hybrid Control Algorithm of Low-Power Wireless Sensor Network System

A hybrid control algorithm, which combines channel selection and transmission power control for Sub-1GHz wireless sensor network systems, is proposed in this paper. By measuring and evaluating the status of candidate channels, the hybrid control algorithm can identify a channel with minimal interference for transmission. Furthermore, by analyzing link quality estimators and employing a fuzzy controller, the system can automatically adjust the transmission power of nodes to adapt to their surrounding environment. Unstable frequencies can be avoided through frequency hopping, either. The proposed algorithm helps nodes reduce power consumption and prolong the life of system while ensuring communication stability. The experiment results show that the proposed hybrid control algorithm can maintain the communication stability defined by IEEE802.15.4, achieving a packet error rate of less than 1% at various test locations. Additionally, the performance of the hybrid control algorithm is more significant when the environment changes rapidly. According to the estimation of nodes' power consumption, several nodes employing the proposed algorithm can maintain the battery life of over seven years, demonstrating the efficacy of the hybrid control algorithm presented in this paper.