Scheduling Algorithms for Optimizing Age of Information in Wireless Networks With Throughput Constraints

Age of Information (AoI) is a performance metric that captures the freshness of the information from the perspective of the destination. The AoI measures the time that elapsed since the generation of the packet that was most recently delivered to the destination. In this paper, we consider a single-...

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Bibliographic Details
Published in:IEEE/ACM transactions on networking Vol. 27; no. 4; pp. 1359 - 1372
Main Authors: Kadota, Igor, Sinha, Abhishek, Modiano, Eytan
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Age of information
Algorithms
Computer simulation
Drift
Freshness
Information age
Monitoring
Nodes
Optimization
Policies
quality of service
Radio equipment
Scheduling
Sensors
Throughput
Weight
Wireless communication
Wireless networks
Wireless sensor networks
ISSN:1063-6692, 1558-2566
Online Access:Get full text
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Summary:Age of Information (AoI) is a performance metric that captures the freshness of the information from the perspective of the destination. The AoI measures the time that elapsed since the generation of the packet that was most recently delivered to the destination. In this paper, we consider a single-hop wireless network with a number of nodes transmitting time-sensitive information to a base station and address the problem of minimizing the expected weighted sum AoI of the network while simultaneously satisfying timely-throughput constraints from the nodes. We develop four low-complexity transmission scheduling policies that attempt to minimize AoI subject to minimum throughput requirements and evaluate their performance against the optimal policy. In particular, we develop a randomized policy, a Max-Weight policy, a Drift-Plus-Penalty policy, and a Whittle's Index policy, and show that they are guaranteed to be within a factor of two, four, two, and eight, respectively, away from the minimum AoI possible. The simulation results show that Max-Weight and Drift-Plus-Penalty outperform the other policies, both in terms of AoI and throughput, in every network configuration simulated, and achieve near-optimal performance.
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ISSN:1063-6692
1558-2566
DOI:10.1109/TNET.2019.2918736