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Energy efficient information discovery approach for range queries in multi-dimensional WSNs
conference contribution
posted on 2014-01-01, 00:00 authored by Menik Tissera, Robin Ram Mohan DossRobin Ram Mohan Doss, Gang LiGang Li, Lynn BattenLynn BattenMultidimensional 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 and in-network query processing (information discovery). Recent algorithms proposed for such WSNs are aimed at achieving better energy efficiency and minimizing latency. This creates a partitioned network area due to the overuse of certain nodes in areas which are on the shortest or closest or path to the base station or data aggregation points which results in hotspots nodes. In this paper, we propose a time-based multi-dimensional, multi-resolution storage approach for range queries that balances the energy consumption by balancing the traffic load as uniformly as possible. Thus ensuring a maximum network lifetime. We present simulation results to show that the proposed approach to information discovery offers significant improvements on information discovery latency compared with current approaches. In addition, the results prove that the Quality of Service (QoS) improvements reduces hotspots thus resulting in significant network-wide energy saving and an increased network lifetime.
History
Event
Wireless Sensors. Conference (2014 : Subang, Selangor, Malaysia)Pagination
1 - 6Publisher
IEEELocation
Subang, Selangor, MalaysiaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-10-26End date
2014-10-28ISBN-13
9781479955947Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
F YusoffTitle of proceedings
ICWiSe 2014: Proceedings of the IEEE Conference on Wireless SensorsUsage metrics
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