Design of Adaptive Model Predictive Controller for Wireless Sensor Networks

In wireless sensor networks, the network state beacon exchange rate is vital to determine the quality of service (QoS) performance of network state. It is important to schedule this parameter adaptively due to the dynamic nature of the networks. In this paper, an adaptive self-control model for wireless sensor (ASMW) is presented which model the whole wireless networks as a closed-loop system. The model is independent of the precision of the model parameters but operates adaptively. The simulation results show that the ASMW model is able to improve the performance of wireless networks effectively in adjusting the value of the beacon exchange rate to the reference value and uncomplicated to be implied in hardware.