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Exploiting affinity propagation for energy-efficient information discovery in sensor networks

Doss, Robin and Li, Gang 2008, Exploiting affinity propagation for energy-efficient information discovery in sensor networks, in GLOBECOM 2008 : Proceedings of the IEEE Global Telecommunication Conference, IEEE, Piscataway, N.J., pp. 735-740.

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Title Exploiting affinity propagation for energy-efficient information discovery in sensor networks
Author(s) Doss, Robin
Li, Gang
Conference name IEEE Global Telecommunication Conference (2008 : New Orleans, La.)
Conference location New Orleans, La.
Conference dates 30 November - 4 December 2008
Title of proceedings GLOBECOM 2008 : Proceedings of the IEEE Global Telecommunication Conference
Editor(s) [Unknown]
Publication date 2008
Conference series Global Telecommunications Conference
Start page 735
End page 740
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Wireless sensor networks (WSN) are attractive for information gathering in large-scale data rich environments. Emerging WSN applications require dissemination of information to interested clients within the network requiring support for differing traffic patterns. Further, in-network query processing capabilities are required for autonomic information discovery. In this paper, we formulate the information discovery problem as a load-balancing problem, with the combined aim being to maximize network lifetime and minimize query processing delay. We propose novel methods for data dissemination, information discovery and data aggregation that are designed to provide significant QoS benefits. We make use of affinity propagation to group "similar" sensors and have developed efficient mechanisms that can resolve both ALL-type and ANY-type queries in-network with improved energy-efficiency and query resolution time. Simulation results prove the proposed method(s) of information discovery offer significant QoS benefits for ALL-type and ANY-type queries in comparison to previous approaches.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 9781424423248
Language eng
Field of Research 080503 Networking and Communications
Socio Economic Objective 810103 Command, Control and Communications
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018266

Document type: Conference Paper
Collections: School of Engineering and Information Technology
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