학술논문

Locally Adaptive Status Updating for Optimizing Age of Information in Poisson Networks
Document Type
Periodical
Source
IEEE Transactions on Mobile Computing IEEE Trans. on Mobile Comput. Mobile Computing, IEEE Transactions on. 22(12):7343-7354 Dec, 2023
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Interference
Transmitters
Signal to noise ratio
Geometry
Electronic mail
Adaptation models
Protocols
Poisson bipolar network
age of information
generate-at-will
status update policy
violation probability
Language
ISSN
1536-1233
1558-0660
2161-9875
Abstract
We consider a homogeneous Poisson bipolar network in which the bipoles represent source-destination pairs. The source nodes need to update their destinations about the new status perpetually, and the communications are taken place over a shared spectrum. The common goal of the source nodes is to minimize the network-wide age of information (AoI). We develop a policy by which every source node can adapt its frequency of generating status updates in a local and decentralized manner. At the same time, the network average AoI is minimized by reducing interference amongst transmitters located in geographical proximity. Following this policy, we also derive mathematical expressions to characterize the distribution of the optimal updating rate at each source node, the network average AoI, and the AoI violation probability, i.e., the probability that the AoI of a typical source node exceeds an age threshold. The analytical results are combined with discrete event simulations to provide a detailed evaluation of the performance of the proposed scheme. Particularly, it is shown that our policy is able to adaptively adjust the updating rate of each source node according to the variant of the network topology. In this manner, it is instrumental in decreasing both the network average AoI and AoI violation probability. Additionally, the scheme can maintain the AoI at a low level even when the network grows in size.