Foresee (4C): Wireless link prediction using link features

  title={Foresee (4C): Wireless link prediction using link features},
  author={Tao Liu and Alberto Cerpa},
  journal={Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks},
As an integral part of reliable communication in wireless networks, effective link estimation is essential for routing protocols. However, due to the dynamic nature of wireless channels, accurate link quality estimation remains a challenging task. In this paper, we propose 4C, a novel link estimator that applies link quality prediction along with link estimation. Our approach is data-driven and consists of three steps: data collection, offline modeling and online prediction. The data collection… CONTINUE READING