Search Results for author:
Found 6 papers, 0 papers with code
Status Updating under Partial Battery Knowledge in Energy Harvesting IoT Networks
We study status updating under inexact knowledge about the battery levels of the energy harvesting sensors in an IoT network, where users make on-demand requests to a cache-enabled edge node to send updates about various random processes monitored by the sensors.
On the Age-Optimality of Relax-then-Truncate Approach under Partial Battery Knowledge in Energy Harvesting IoT Networks
We consider an energy harvesting (EH) IoT network, where users make on-demand requests to a cache-enabled edge node to send status updates about various random processes, each monitored by an EH sensor.
Status Updating with an Energy Harvesting Sensor under Partial Battery Knowledge
We consider status updating under inexact knowledge of the battery level of an energy harvesting (EH) sensor that sends status updates about a random process to users via a cache-enabled edge node.
On-Demand AoI Minimization in Resource-Constrained Cache-Enabled IoT Networks with Energy Harvesting Sensors
We consider a resource-constrained IoT network, where multiple users make on-demand requests to a cache-enabled edge node to send status updates about various random processes, each monitored by an energy harvesting sensor.
AoI Minimization in Status Update Control with Energy Harvesting Sensors
Users send requests to the edge node where a cache contains the most recently received measurements from each sensor.
Age-Aware Status Update Control for Energy Harvesting IoT Sensors via Reinforcement Learning
We consider an IoT sensing network with multiple users, multiple energy harvesting sensors, and a wireless edge node acting as a gateway between the users and sensors.
