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A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network

Niu,W, Li,G, Tong,E, Sheng,QZ, Li,Q, Hu,Y, Vasilakos,AV and Guo,L 2014, A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network, Journal of network and computer applications, vol. 44, pp. 120-133, doi: 10.1016/j.jnca.2014.05.006.

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Title A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network
Author(s) Niu,W
Li,GORCID iD for Li,G orcid.org/0000-0003-1583-641X
Tong,E
Sheng,QZ
Li,Q
Hu,Y
Vasilakos,AV
Guo,L
Journal name Journal of network and computer applications
Volume number 44
Start page 120
End page 133
Publisher Elsevier
Place of publication London, England
Publication date 2014
ISSN 1084-8045
1095-8592
Keyword(s) Block energy
Comb-needle
Data dissemination
Hotspot
Wireless sensor network
Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Interdisciplinary Applications
Computer Science, Software Engineering
Computer Science
PROTOCOL ARCHITECTURE
INFORMATION DISCOVERY
DIFFUSION
Summary As a significant milestone in the data dissemination of wireless sensor networks (WSNs), the comb-needle (CN) model was developed to dynamically balance the sensor data pushing and pulling during hybrid data dissemination. Unfortunately, the hybrid push-pull data dissemination strategy may overload some sensor nodes and form the hotspots that consume energy significantly. This usually leads to the collapse of the network at a very early stage. In the past decade, although many energy-aware dynamic data dissemination methods have been proposed to alleviate the hotspots issue, the block characteristic of sensor nodes has been overlooked and how to offload traffic from hot blocks with low energy through long-distance hybrid dissemination remains an open problem. In this paper, we developed a block-aware data dissemination model to balance the inter-block energy and eliminate the spreading of intra-block hotspots. Through the clustering mechanism based on geography and energy, "similar" large-scale sensor nodes can be efficiently grouped into specific blocks to form the global block information (GBI). Based on GBI, the long-distance block-cross hybrid algorithms are further developed by effectively aggregating inter-block and intra-block data disseminations. Extensive experimental results demonstrate the capability and the efficiency of the proposed approach. © 2014 Elsevier Ltd.
Language eng
DOI 10.1016/j.jnca.2014.05.006
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070569

Document type: Journal Article
Collection: School of Information Technology
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