2020/03/05 by Emmanouil Fountoulakis, Νικόλαος Παππάς, Fountoulakis, Emmanouil +5 · 1 citation
Computer Science · Medicine · Engineering · #Age of Information Optimization #Frailty in Older Adults #IoT Networks and Protocols
paper · pdf · doi:10.48550/arxiv.2003.02512
We consider the problem of minimizing the time average cost of sampling and\ntransmitting status updates by users over a wireless channel subject to average\nAge of Information constraints (AoI). Errors in the transmission may occur and\nthe scheduling algorithm has to decide if the users sample a new packet or\nattempt for retransmission of the packet sampled previously. The cost consists\nof both sampling and transmission costs. The sampling of a new packet after a\nfailure imposes an additional cost in the system. We formulate a stochastic\noptimization problem with time average cost in the objective under time average\nAoI constraints. To solve this problem, we apply tools from Lyapunov\noptimization theory and develop a dynamic algorithm that takes decisions in a\nslot-by-slot basis. The algorithm decides if a user: a) samples a new packet,\nb) transmits the old one, c) remains silent. We provide optimality guarantees\nof the algorithm and study its performance in terms of time average cost and\nAoI through simulation results.\n