Robust Distributed Information-Sharing Algorithms for Mitigating Wireless Link Impairments

We study the problem of distributed parameter estimation when the information is exchanged over impaired wireless links. Wireless link impairments, such as channel fading, path loss, and additive interference, seriously affect the authenticity of exchanged data and cause performance reduction. The adaptive temporal–spatial diffusion strategy is initially proposed to alleviate these effects, enabling nodes to cooperate spatially while also filtering and processing their previous estimates. Additionally, we propose a temporal monitoring strategy for filtering reliable information from the neighboring nodes. Besides, an improved variable step size least mean squares algorithm is proposed to increase the convergence speed. Numerical simulations indicate that our proposed algorithm has excellent convergence speed and estimation accuracy in the presence of wireless link impairments.