Abstract
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. We assume energy arrives randomly at the sensor according to a Poisson process, and each status update consumes one unit of energy. Our objective is to design optimal online status update policies to minimize the long-term average Aol, 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 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 propose a threshold based status update policy. We analytically characterize the long-term average AoI under this policy, and prove it is optimal. Simulation results corroborate the theoretical bounds.
Original language | English (US) |
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Title of host publication | 2017 IEEE International Conference on Communications, ICC 2017 |
Editors | Merouane Debbah, David Gesbert, Abdelhamid Mellouk |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781467389990 |
DOIs | |
State | Published - Jul 28 2017 |
Event | 2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: May 21 2017 → May 25 2017 |
Other
Other | 2017 IEEE International Conference on Communications, ICC 2017 |
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Country/Territory | France |
City | Paris |
Period | 5/21/17 → 5/25/17 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering