Journal
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume 65, Issue 2, Pages 591-603Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2019.2912492
Keywords
Indexes; Dynamic scheduling; Channel estimation; State estimation; Wireless sensor networks; Data communication; Kalman filtering; Markov decision process (MDP); multiagent systems; restless multiarmed bandit (RMAB)
Funding
- Hong Kong RGC General Research Fund [16208517]
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In this paper, we consider dynamic channel allocation for remote state estimation of multiagent systems. For each subsystem, a sensor measures its state and transmits the data via a packet-dropping channel, which is dynamically allocated by the remote estimator. We first formulate the problem as a Markov decision process. Given the difficulty of obtaining an optimal policy of large-scale problems, we develop a suboptimal heuristic policy based on the Whittle index for the restless multiarmed bandit (RMAB) problem. The performance of the Whittle index policy is evaluated from both theoretical and practical aspects. The strong performance of Whittle index policy is illustrated by the numerical examples.
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