A hybrid data aggregation scheme for provisioning Quality of Service (QoS) in Internet of Things (IoT)

Internet of Things (IoT) is a new paradigm which is enormously gaining ground in today's world. In order to maintain desirable service quality in the transmission of sensed data, data aggregation schemes are highly used. The main goal of data aggregation scheme is to collect and aggregate data packets in an efficient manner so as to reduce power consumption, 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. This scheme combines the features of the cluster and tree-based data aggregation schemes and addresses some of their important limitations. Simulation results show that QADA outperforms cluster and tree-based aggregation schemes in terms of power consumption, network lifetime and bearing higher traffic load.