This paper studies sampled-data output feedback control where the states are monitored by multiple sensors. Asymptotic stability conditions for given sampling intervals for each sensor are derived. Based on these results, we then propose an event-based controller switching, in which one sensor transmits its measurement to the controller with a fixed sampling rate while another sensor transmits with a send-on-delta strategy. Such a set-up is motivated by the many potential cascade and feedforward control architectures in process industry, which could enhance performance if additional wireless sensors could be added without changing existing (wired) communication schedules. Asymptotic stability conditions of the switching event-based control systems are derived. Numerical examples illustrate how our framework reduces the effect of disturbances for both cascade and feedforward PI control systems.