Abstract:

According to characteristics of wireless sensor networks, for the sake of saving energy of nodes in wireless sensor networks, a twiceunbiased GreyMarkov forecasting model is proposed. Based on Markov prediction, according to the state determination rule and twiceunbiased Gray prediction, the environment state of wireless sensor networks is determined, and the flag of the state is transferred, so that wireless sensor networks can reduce the energy consumption. Simulation results show that the model improves the prediction accuracy and achieves effective state prediction.

Key words: wireless sensor networks;Markov forecasting;gray prediction;state determination