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dc.contributor.authorLiu, Xiaozhu
dc.contributor.authorZhu, Rongbo
dc.contributor.authorAnjum, Ashiq
dc.contributor.authorWang, Jun
dc.contributor.authorZhang, Hao
dc.contributor.authorMa, Maode
dc.identifier.citationLiu, X., Zhu, R., Anjum, A., Wang, J., Zhang, H. and Ma, M., (2020). 'Intelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networks'. Future Generation Computer Systems, 104, pp. 1-14. DOI: 10.1016/j.future.2019.10.001en_US
dc.description.abstractData fusion can effectively reduce the amount of data transmission and network energy consumption in wireless sensor networks (WSNs). However the existing data fusion schemes lead to additional delay overhead and power consumptions. In order to improve the performance of WSNs, an intelligent data fusion algorithm based on hybrid delay-aware clustering (HDC) in WSNs is proposed, which combines the advantages of single-layer cluster structure and multi-layer cluster structure, and adaptive selects the clustering patterns of the cluster by the decision function to achieve the tradeoff between network delay and energy consumption. The network model of HDC is presented, and theoretical analysis of the delay and energy consumption of single-layer cluster and multi-layer cluster are provided. And the energy efficient clustering algorithm and the dynamic cluster head re-selection algorithm are proposed to optimize network energy consumption and load balancing of the network. Simulation results show that, compared with the existing delay-aware models, the proposed scheme can effectively reduce the network delay, network energy consumption, and extend the network lifetime simultaneously.en_US
dc.rightsCC0 1.0 Universal*
dc.subjectComputer Networks and Communicationsen_US
dc.subjectHardware and Architectureen_US
dc.titleIntelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networksen_US
dc.contributor.departmentWuhan University of Technology, Wuhan, Chinaen_US
dc.contributor.departmentSouth-Central University for Nationalities, Wuhan, Chinaen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.contributor.departmentNanyang Technological University, Singaporeen_US
dc.identifier.journalFuture Generation Computer Systemsen_US

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Except where otherwise noted, this item's license is described as CC0 1.0 Universal