Age of Information Under Frame Slotted ALOHA-Based Status Updating Protocol

We propose a frame slotted ALOHA (FSA)-based protocol for a random access network where sources transmit status updates to their intended destinations. We evaluate the effect of such a protocol on the network's timeliness performance using the Age of Information (AoI) metric. Specifically, we leverage tools from stochastic geometry to model the spatial positions of the source-destination pairs and capture the entanglement amongst the nodes' spatial-temporal attributes through the interference they caused to each other. We derive analytical expressions for the average and variance of AoI over a typical transmission link in Poisson bipolar and cellular networks, respectively. Our analysis shows that in densely deployed networks, the FSA-based status updating protocol can significantly decrease the average AoI and in addition, stabilizes the age performance by substantially reducing the variance of AoI. Furthermore, under the same updating frequency, converting a slotted ALOHA protocol into an FSA-based one always leads to a reduction in the average AoI. Moreover, implementing FSA in conjunction with power control can further benefit the AoI performance, although the particular values of framesize and power control factor must be adequately tuned to achieve the optimal gain.

Automated summary

This study proposes a frame slotted ALOHA (FSA)-based protocol for random access networks, where sources transmit status updates to their intended destinations. The protocol's effect on the network's timeliness performance is evaluated using the Age of Information (AoI) metric. Stochastic geometry tools are used to model the spatial positions of source-destination pairs and capture the interference amongst the nodes. Analytical expressions for the average and variance of AoI in different network types are derived. The results show that the FSA-based protocol can significantly decrease the average AoI and stabilize the age performance in densely deployed networks.