Imperial College London

ProfessorDenizGunduz

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor in Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 6218d.gunduz Website

 
 
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Assistant

 

Ms Joan O'Brien +44 (0)20 7594 6316

 
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Location

 

1016Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gindullina:2021:10.1109/TGCN.2021.3092272,
author = {Gindullina, E and Badia, L and Gunduz, D},
doi = {10.1109/TGCN.2021.3092272},
journal = {IEEE Transactions on Green Communications and Networking},
pages = {1529--1540},
title = {Age-of-information with information source diversity in an energy harvesting system},
url = {http://dx.doi.org/10.1109/TGCN.2021.3092272},
volume = {5},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Age of information (AoI) is a key performance metric for the Internet of things (IoT). Timely status updates are essential for many IoT applications; however, they often suffer from harsh energy constraints and the unreliability of underlying information sources. To overcome these unpredictabilities, one can employ multiple sources that track the same process of interest, but with different energy costs and reliabilities. We consider an energy-harvesting (EH) monitoring node equipped with a finite-size battery and collecting status updates from multiple heterogeneous information sources. We investigate the policies that minimize the average AoI, formulating a Markov decision process (MDP) to choose the optimal actions of either updating from one of the sources or remaining idle, based on the current energy level and the AoI at the monitoring node. We analyze the structure of the optimal solution for different cost/AoI distribution combinations, and compare its performance with an aggressive policy that transmits whenever possible.
AU - Gindullina,E
AU - Badia,L
AU - Gunduz,D
DO - 10.1109/TGCN.2021.3092272
EP - 1540
PY - 2021///
SN - 2473-2400
SP - 1529
TI - Age-of-information with information source diversity in an energy harvesting system
T2 - IEEE Transactions on Green Communications and Networking
UR - http://dx.doi.org/10.1109/TGCN.2021.3092272
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000691876800044&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://ieeexplore.ieee.org/document/9464348
UR - http://hdl.handle.net/10044/1/92913
VL - 5
ER -