Novel approach for information discovery in autonomous wireless sensor networks Tissera, Menik, Doss, Robin, Li, Gang and Batten, Lynn M. 2015, Novel approach for information discovery in autonomous wireless sensor networks. In Doss, Robin, Piramuthu, Selwyn and Zhou, Wei (ed), Future network systems and security : first international conference, FNSS 2015, Paris, France, June 11-13, 2015, Proceedings, Springer, Berlin, Germany, pp.47-60, doi: 10.1007/978-3-319-19210-9_4. Attached Files Name Description MIMEType Size Downloads Title Novel approach for information discovery in autonomous wireless sensor networks Author(s) Tissera, Menik Doss, Robin orcid.org/0000-0001-6143-6850 Li, Gang orcid.org/0000-0003-1583-641X Batten, Lynn M. orcid.org/0000-0003-4525-2423 Title of book Future network systems and security : first international conference, FNSS 2015, Paris, France, June 11-13, 2015, Proceedings Editor(s) Doss, Robin orcid.org/0000-0001-6143-6850 Piramuthu, Selwyn Zhou, Wei Publication date 2015 Series Communications in Computer and Information Science; v.523 Chapter number 4 Total chapters 15 Start page 47 End page 60 Total pages 14 Publisher Springer Place of Publication Berlin, Germany Keyword(s) wireless sensor networks data centric storage distributed index for multi-dimensional data Summary Autonomous Wireless sensor networks(WSNs) have sensors that are usually deployed randomly to monitor one or more phenomena. They are attractive for information discovery in large-scale data rich environments and can add value to mission–critical applications such as battlefield surveillance and emergency response systems. However, in order to fully exploit these networks for such applications, energy efficient, load balanced and scalable solutions for information discovery are essential. Multi-dimensional autonomous WSNs are deployed in complex environments to sense and collect data relating to multiple attributes (multi-dimensional data). Such networks present unique challenges to data dissemination, data storage of in-network information discovery. In this paper, we propose a novel method for information discovery for multi-dimensional autonomous WSNs which sensors are deployed randomly that can significantly increase network lifetime and minimize query processing latency, resulting in quality of service (QoS) improvements that are of immense benefit to mission–critical applications. We present simulation results to show that the proposed approach to information discovery offers significant improvements on query resolution latency compared with current approaches. ISBN 9783319192093 ISSN 1865-0929 1865-0937 Language eng DOI 10.1007/978-3-319-19210-9_4 Field of Research 080109 Pattern Recognition and Data Mining Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category B1 Book chapter ERA Research output type B Book chapter Copyright notice ©2015, Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30076110 Document type: Book Chapter Collection: 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 Fri, 21 Aug 2015, 11:20:57 EST Sat, 22 Aug 2015, 05:03:36 EST Mon, 24 Aug 2015, 08:13:36 EST Tue, 08 Mar 2016, 12:27:23 EST Tue, 08 Mar 2016, 12:27:56 EST Wed, 09 Mar 2016, 05:06:33 EST Wed, 04 May 2016, 11:18:09 EST Wed, 04 May 2016, 11:21:10 EST Thu, 19 May 2016, 09:15:02 EST Mon, 18 Jul 2016, 15:41:08 EST Tue, 13 Mar 2018, 10:53:08 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 246 Abstract Views, 7 File Downloads  -  Detailed Statistics Created: Tue, 08 Mar 2016, 12:27:56 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.