Improving Age-of-Information in Distributed Vehicle Tracking
Paper i proceeding, 2021

We consider the problem of tracking vehicles in a distributed setting, which is important for, e.g., autonomous driving and collision avoidance systems. These applications rely on receiving timely updates and require aggregating sensor data from many sources to improve accuracy. We consider a cloud-assisted scheme that utilizes replication to alleviate the straggler problem, i.e., the problem of random delays in distributed systems. We derive the age-of-information (AoI) of estimate updates and show that replication significantly improves the AoI. Furthermore, we derive the probability that the error of the position estimate exceeds some threshold for a given AoI.

Författare

Albin Severinson

Universitetet i Bergen

Simula UiB

Eirik Rosnes

Simula UiB

Alexandre Graell I Amat

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Simula UiB

2021 34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021

34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021
Rome, Italy,

Styrkeområden

Transport

Ämneskategorier

Telekommunikation

Reglerteknik

Signalbehandling

DOI

10.23919/URSIGASS51995.2021.9560297

Mer information

Senast uppdaterat

2021-11-09