Optimal Status Update for Age of Information Minimization With an Energy Harvesting Source

By Xianwen Wu, Jing Yang, Jingxian Wu. IEEE Transactions on Green Communications and Networking, 2017

310 citations recorded by the source corpus.

In this paper, we consider a scenario where an energy harvesting sensor continuously monitors a system and sends time-stamped status updates to a destination. The destination keeps track of the system status through the received updates. We use the metric Age of Information (AoI), the time that has elapsed since the last received update was generated, to measure the “freshness” of the status information available at the destination. Our objective is to design optimal online status update policies to minimize the long-term average AoI, subject to the energy causality constraint at the sensor. We consider three scenarios, i.e., the battery size is infinite, finite, and one unit only, respectively. For the infinite battery scenario, we adopt a best-effort uniform status update policy and show that it minimizes the long-term average AoI. For the finite battery scenario, we adopt an energy-aware adaptive status update policy, and prove that it is asymptotically optimal when the battery size goes to infinity. For the last scenario where the battery size is one, we first show that within a broadly defined class of online policies, the optimal policy should have a renewal structure. We then focus on a renewal interval, and prove that the optimal policy should have a threshold structure, i.e., if the AoI in the system is below a threshold when an energy arrival enters an empty battery, the sensor should store the energy first and then update when the AoI reaches the threshold; otherwise, it updates the status immediately. Simulation results corroborate the theoretical bounds.

Subfields: Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/84311a23aca79b3720574b5fb1b1be8df2114b48

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

  1. Roy D. Yates
  2. Sanjit Krishnan Kaul

In Computer Networks and Communications

  1. Eytan H. Modiano
  2. Roy D. Yates
  3. Sanjit Krishnan Kaul
  4. Sennur Ulukus
  5. Yin Sun
  6. D. Brown
  7. Nikolaos Pappas
  8. Jing Yang

In Electrical and Electronic Engineering

  1. Eytan H. Modiano
  2. Sanjit Krishnan Kaul
  3. Roy D. Yates
  4. Sennur Ulukus
  5. D. Brown
  6. Yin Sun
  7. Jing Yang
  8. Michael J. Neely

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