TY - GEN
T1 - Data Freshness in Mixed-Memory Intermittently-Powered Systems
AU - Broadhead, James Scott
AU - Pawełczak, Przemysław
PY - 2021
Y1 - 2021
N2 - Age of Information (AoI) is a key metric to understand data freshness in Internet of Things (IoT) devices. In this paper we analyse an intermittently—powered IoT sensor-with mixed-memory (volatile and non-volatile) architecture—that uses a Time-Dependent Checkpointing (TDC) scheme. We derive the average Peak Age of Information (PAoI) and average AoI of the system, and use these metrics to understand which device parameters most significantly influence performance. We go on to consider how the average PAoI of a mixed-memory system compares with entirely volatile or entirely non-volatile architecture, and also introduce an alternative TDC strategy to improve system resilience in unpredictable environmental conditions.
AB - Age of Information (AoI) is a key metric to understand data freshness in Internet of Things (IoT) devices. In this paper we analyse an intermittently—powered IoT sensor-with mixed-memory (volatile and non-volatile) architecture—that uses a Time-Dependent Checkpointing (TDC) scheme. We derive the average Peak Age of Information (PAoI) and average AoI of the system, and use these metrics to understand which device parameters most significantly influence performance. We go on to consider how the average PAoI of a mixed-memory system compares with entirely volatile or entirely non-volatile architecture, and also introduce an alternative TDC strategy to improve system resilience in unpredictable environmental conditions.
UR - http://www.scopus.com/inward/record.url?scp=85115115105&partnerID=8YFLogxK
U2 - 10.1109/ISIT45174.2021.9518156
DO - 10.1109/ISIT45174.2021.9518156
M3 - Conference contribution
SN - 978-1-5386-8210-4
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 3361
EP - 3366
BT - 2021 IEEE International Symposium on Information Theory, ISIT 2021 - Proceedings
PB - IEEE
CY - Piscataway
T2 - 2021 IEEE International Symposium on Information Theory (ISIT)
Y2 - 12 July 2021 through 20 July 2021
ER -