Optimal resource allocation in networked control systems using viterbi algorithm

Gökhan Çetin, M. Sami Fadali


This paper presents an optimal bandwidth allocation method for a networked control system (NCS) which includes time-driven sensor, event-driven controller and random channels. A hidden markov model (HMM) with a discretized state space is formulated for the random traffic to predict the network states using a suitable data window. Network bandwidth is allocated based on the predicted traffic state subject to bounds on the deterministic traffic that guarantee acceptable NCS performance and do not exceed hardware limitations. Bandwidth allocation uses  minimization of unmet bandwidth demand. A stability condition is derived for a variable but bounded sampling period interval. Computer simulation results show the effect of varying the number of discrete states for the HMM and the window width on bandwidth allocation. The results compare favorably with a published approach based on fuzzy logic.


Bandwidth allocation; Hidden markov process; Networked control systems; Network congestion; Variable sampling period; Viterbi algorithm

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DOI: https://doi.org/10.11591/eei.v10i3.3022


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