Study of timeliness and distortion performance for real-time decision making in IoT
The sensor's timely and accurately data transmission is a guarantee for the decision-making unit to obtain effective data for decision-making(e.g.,estimation,inference,or control)in IoT.To reduce estimation distortion,the decision unit uses multiple packets concurrently for joint estimation by using the best linear unbiased estimator(BLUE).Age upon decisions(AuD)and mean-squared-error(MSE)were introduced as metrics to measure the timeliness and the distortion of the information at the decision moments of the system,respectively.Two decision-making strategies were proposed,and the information timeliness and the distortion performance of the proposed strategies were investigated.In the strategy of using a fixed number of packets for decision making,the monitoring center performed an estimation after per fixed number of packets were received.In the strategy of using fixed time intervals for decision making,the monitoring center made an estimation at fixed intervals.The relationship between the system timeliness and the distortion was balanced by scheduling the decision process of the system to minimize the weighted sum of average AuD and average distortion.Simulation results show that the proposed strategies can improve the system timeliness and reduce the distortion performance by scheduling the decision-making process of the system.
internet of things(IoT)update-and-decide systemage upon decisions(AuD)estimation distor-tiondecision scheduling
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