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Quality of service provisioning for real-time data such as audio and video in large Internet of Things networks is considered to be a challenging issue. In order to maintain desirable service quality of the sensed data from the environment, data aggregation-based schemes are highly used. Such schemes gather and aggregate data packets in an efficient manner so as to reduce power consumption, network overhead, and traffic congestion, and to increase network lifetime, data accuracy, etc. In this paper, a hybrid Quality of service-Aware Data Aggregation (QADA) scheme is proposed. The proposed scheme combines some of the interesting features of the cluster and tree-based data aggregation schemes while addressing some of their important limitations. Simulation results show that QADA outperforms cluster and tree-based aggregation schemes in terms of power consumption, network lifetime, available …