A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks with Transient Data

no code implementations • 16 Mar 2022 • Hongda Wu, Ali Nasehzadeh, Ping Wang

In this work, we propose a DRL-based caching scheme that improves the cache hit rate and reduces energy consumption of the IoT networks, in the meanwhile, taking data freshness and limited lifetime of IoT data into account.

reinforcement-learning Reinforcement Learning (RL) +1