Improving Age-of-Information in Distributed Vehicle Tracking
Paper in 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.

Author

Albin Severinson

University of Bergen

Simula UiB

Eirik Rosnes

Simula UiB

Alexandre Graell I Amat

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Simula UiB

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


9789463968027 (ISBN)

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

Areas of Advance

Transport

Subject Categories

Telecommunications

Control Engineering

Signal Processing

DOI

10.23919/URSIGASS51995.2021.9560297

More information

Latest update

11/9/2021