Age of Information Optimal Scheduling Strategy in Energy Harvesting Internet of Things
Age of Information(AoI)is a measure of data freshness,which is an important consideration in the optimization design of energy harvesting IoT.Existing AoI optimization strategies are often designed only from the source node side or the base station side.In this regard,a joint optimization scheme that takes into account both the source node sampling strategy and the base station scheduling strategy is designed for the energy harvesting IoT with multiple source nodes,an energy cap,and an ideal channel.The source node sampling strategy considers the following tradeoffs:the earlier the sampling time,the larger the AoI of the cached samples;if the sampling time is too late,the energy may be wasted or too late to be uploaded to the base station.The base station scheduling is based on a greedy strategy,i.e.,selecting the source node that minimizes the long-term average AoI increase of the system.Simulation analysis shows that the method can obtain better long term average AoI compared to existing proven baseline methods.
age of informationenergy harvesting IoTsampling strategyscheduling strategy