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.

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Title Novel approach for information discovery in autonomous wireless sensor networks
Author(s) Tissera, Menik
Doss, RobinORCID iD for Doss, Robin orcid.org/0000-0001-6143-6850
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Batten, Lynn M.ORCID iD for 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, RobinORCID iD for 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
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