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An adaptive approach to information discovery in multi-dimensional wireless sensor networks
conference contribution
posted on 2013-01-01, 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 (multidimensional data). Such networks present unique challenges to data dissemination, data storage and in-network query processing (information discovery). In this paper, we investigate efficient strategies for information discovery in large-scale multidimensional WSNs and propose the Adaptive MultiDimensional Multi-Resolution Architecture (A-MDMRA) that efficiently combines “push” and “pull” strategies for information discovery and adapts to variations in the frequencies of events and queries in the network to construct optimal routing structures. We present simulation results showing the optimal routing structure depends on the frequency of events and query occurrence in the network. It also balances push and pull operations in large scale networks enabling significant QoS improvements and energy savings.
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Event
Sensing Technology. Conference (7th : 2013 : Wellington, New Zealand)Pagination
203 - 208Publisher
IEEELocation
Wellington, New ZealandPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2013-12-03End date
2013-12-05Language
engPublication classification
E1 Full written paper - refereed; E Conference publicationCopyright notice
2013, IEEETitle of proceedings
ICST 2013 : Proceedings of the 7th International Conference on Sensing TechnologyUsage metrics
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