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

H. Rahman, N. Ahmed, M. I. Hussain
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引用次数: 16

Abstract

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.
一种用于物联网服务质量(QoS)提供的混合数据聚合方案
物联网(IoT)是当今世界正在迅速发展的一种新范式。为了在感知数据传输中保持良好的服务质量,数据聚合方案得到了广泛的应用。数据聚合方案的主要目标是高效地收集和聚合数据包,以达到降低功耗、减少流量拥塞、提高网络寿命和数据准确性等目的。提出了一种基于服务质量感知的混合数据聚合(QADA)方案。该方案结合了集群和基于树的数据聚合方案的特性,并解决了它们的一些重要限制。仿真结果表明,QADA在功耗、网络寿命和承载更高的流量负载等方面都优于基于集群和树的聚合方案。
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