An event-triggered H_∞ state estimation problem is investigated in this paper for a two-degrees-of-freedom(2-DOF) quarter-car suspension system operated over a switching-channel network environment.First,the channelswitching is governed by a Markov chain.Then,a Markov jump linear system model is adopted to represent the overall networked system in accordance with the event-triggered communication scheme,signal quantization,and random packet losses on account of the limited network bandwidth.Using the Lyapunov functional and linear matrix inequality method,the event-triggered H_∞ state estimation problem is transformed into an optimization problem,theswitching-channel-dependent filters of which are designed such that the filter error system is exponentially stable in the mean square sense and achieves the desired performance level.Finally,a simulation example is used to demonstrate the validity of the proposed design.