Age of Gossip With Cellular Drone Mobility
Arunabh Srivastava, Sennur Ulukus

TL;DR
This paper analyzes how drone mobility and dissemination rates affect information freshness in cellular networks, revealing a dual-bottleneck effect where the slower process limits performance.
Contribution
It introduces a dual-bottleneck framework for understanding age of information in drone-assisted cellular networks with Markovian mobility.
Findings
Expected drone-to-cell service time depends on CTMC stationary distribution and dissemination rate.
High probability analysis is challenging due to age instability, so focus is on fully-connected mobility.
Version age is constrained by the slower process between drone mobility and dissemination speed.
Abstract
We consider a cellular network containing nodes where nodes within a cell gossip with each other in a fully-connected fashion and a source shares updates with these nodes via a mobile drone. The drone receives source updates and shares them with nodes in the cell where it currently resides. The drone moves between cells according to an underlying continuous-time Markov chain (CTMC). We evaluate the impact of the number of cells , drone speed and drone dissemination rate on the information freshness of nodes in the network. We use the version age of information metric to quantify information freshness. We observe that the expected duration between two drone-to-cell service times depends on the stationary distribution of the underlying CTMC and , but not on . However, the version age instability makes high probability…
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