ICASSP 2026poster0 citations

DERIVING MOMENTS IN THE AGE OF GOSSIP PROCESS FROM PERCOLATION

Thomas Jacob Maranzatto

Abstract

This paper concerns fundamental identities in the study of age of information (AoI) in gossip networks. We recover known recursive identities for arbitrary kth moments of the age process based on the recent connection between AoI and first passage percolation. Apart from the connection to percolation, our proofs are more concise and can be followed using only elementary facts from probability. Our argument generalizes some techniques known in the statistical physics community, and we remark on connections to the Eden model.

BibTeX
@inproceedings{icassp2026_derivingmomentsi,
  title = {DERIVING MOMENTS IN THE AGE OF GOSSIP PROCESS FROM PERCOLATION},
  author = {Thomas Jacob Maranzatto},
  booktitle = {ICASSP 2026},
  year = {2026}
}