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. Attached Files Name Description MIMEType Size Downloads Title A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network Author(s) Niu,W 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 Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 11 Mar 2015, 14:00:58 EST Thu, 12 Mar 2015, 04:03:34 EST Thu, 12 Mar 2015, 07:13:09 EST Fri, 27 Mar 2015, 08:37:53 EST Thu, 02 Apr 2015, 05:06:56 EST Wed, 08 Apr 2015, 10:32:38 EST Wed, 08 Apr 2015, 10:41:50 EST Thu, 15 Feb 2018, 13:57:08 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 593 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Wed, 11 Mar 2015, 14:00:58 EST

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