Optimizing the Age of Sensed Information in Cyber-Physical Systems

With the wide spread of IoT applications, the timeliness of sensed information becomes more and more important. Recently, the researchers proposed to use the Age of Information (AoI) to evaluate the timeliness of sensed data, and a series of algorithms have been proposed to optimize the AoI in IoT and cyber-physical systems. There algorithms are efficient for the systems with identical sensors. However, they are not very suitable for the systems containing different sensors since the different variations of data are not sufficiently considered by them. In order to evaluate the AoI of different sensors data more fairly, we propose to use the data queue length instead of time to denote it in this paper. Based on such new metric, the problem of minimizing the max AoI is provided. Finally, the optimized scheduling algorithm is given for solving the above problem. Extensive experimental results are carried out and show that the proposed algorithm has higher performance comparing with the baseline and existing works.