M. Moltafet, M. Leinonen, M. Codreanu and N. Pappas, "Power Minimization for Age of Information Constrained Dynamic Control in Wireless Sensor Networks," in IEEE Transactions on Communications, vol. 70, no. 1, pp. 419-432, Jan. 2022, doi: 10.1109/TCOMM.2021.3124949.
Power minimization for age of information constrained dynamic control in wireless sensor networks
|Author:||Moltafet, Mohammad1; Leinonen, Markus1; Codreanu, Marian2;|
1Centre for Wireless Communications–Radio Technologies, University of Oulu, 90014 Oulu, Finland
2Department of Science and Technology, Linköping University, Sweden
|Online Access:||PDF Full Text (PDF, 3.7 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021121060075
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-12-10
We consider a status update system where multiple sensors communicate timely information about various random processes to a sink. The sensors share orthogonal sub-channels to transmit such information in the form of status update packets. A central controller can control the sampling actions of the sensors to trade-off between the transmit power consumption and information freshness which is quantified by the Age of Information (AoI). We jointly optimize the sampling action of each sensor, the transmit power allocation, and the sub-channel assignment to minimize the average total transmit power of all sensors, subject to a maximum average AoI constraint for each sensor. To solve the problem, we develop a dynamic control algorithm using the Lyapunov drift-plus-penalty method and provide optimality analysis of the algorithm. According to the Lyapunov drift-plus-penalty method, to solve the main problem, we need to solve an optimization problem in each time slot which is a mixed integer non-convex optimization problem. We propose a low-complexity sub-optimal solution for this per-slot optimization problem that provides near-optimal performance and we evaluate the computational complexity of the solution. Numerical results illustrate the performance of the proposed dynamic control algorithm and the performance of the sub-optimal solution for the per-slot optimization problem versus the different parameters of the system. The results show that the proposed dynamic control algorithm achieves more than 60% saving in the average total transmit power compared to a baseline policy.
IEEE transactions on communications
|Pages:||419 - 432|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research has been financially supported in part by Infotech Oulu, the Academy of Finland (grant 323698), and Academy of Finland 6Genesis Flagship (grant 318927). The work of M. Leinonen has also been financially supported in part by the Academy of Finland (grant 319485). M. Codreanu would like to acknowledge the support of the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 793402 (COMPRESS NETS). The work of N. Pappas was supported in part by the Swedish Research Council (VR), ELLIIT, and CENIIT.
|Academy of Finland Grant Number:||
323698 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
319485 (Academy of Finland Funding decision)
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