Remote Estimation for Dynamic IoT Sources Under Sublinear Communication Costs

Jihyeon Yun, Atilla Eryilmaz, Jun Moon, Changhee Joo

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


We investigate a remote estimation system with communication cost for multiple Internet-of-Things sensors, in which the state of each sensor changes according to a Wiener process. Under sublinear communication cost structure, in which the per-transmission cost decreases with the number of simultaneous transmissions, we address an interesting unexplored trade-off under source dynamics between frequent updates of a smaller number of sensors at a higher cost and sporadic updates of a larger number of sensors at a lower cost. We first suggest two benchmark strategies, an all-at-once policy and a multi-threshold policy, and generalize them to a unified framework, called the MAX-<inline-formula> <tex-math notation="LaTeX">$k$</tex-math> </inline-formula> policy. Furthermore, we address the problem of parameter optimization of the MAX-<inline-formula> <tex-math notation="LaTeX">$k$</tex-math> </inline-formula> policy by developing online learning algorithms with stochastic feedback and a continuous search space. Through simulations, we demonstrate that the joint solution of the MAX-<inline-formula> <tex-math notation="LaTeX">$k$</tex-math> </inline-formula> policy and particle swarm optimization-based online learning achieves a high performance, outperforming the well-known upper confidence bound-based competitor.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalIEEE/ACM Transactions on Networking
Publication statusAccepted/In press - 2023

Bibliographical note

Publisher Copyright:


  • communication system control
  • Costs
  • Estimation
  • Internet of Things
  • Internet of Things
  • Receivers
  • Remote sensing
  • Sensor systems
  • Sensors
  • Transmitters

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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