Comparative study of correlated shadowing loss model for wireless sensor networks

Accurate prediction of received signal strength is pivotal to reliable wireless communications. Unfortunately, wireless signals are often subject to random attenuation due to the environment around the receivers. One of the degradation factors that contributes to such loss is shadowing loss. It is well known that the shadowing losses of two nearby radio links are correlated. In this paper, we study the features of three existing models for correlated shadowing loss, namely autocorrelation model, cross-correlation model and joint path loss model, and establish the relationship between them.