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The crossroads approach to information discovery in wireless sensor networks
journal contribution
posted on 2008-01-01, 00:00 authored by Robin Ram Mohan DossRobin Ram Mohan Doss, Gang LiGang Li, Shui Yu, Vicky MakVicky Mak, Morshed ChowdhuryMorshed ChowdhuryWireless sensor networks (WSN) are attractive for information gathering in large-scale data rich environments. In order to fully exploit the data gathering and dissemination capabilities of these networks, energy-efficient and scalable solutions for data storage and information discovery are essential. 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 resulting in QoS improvements. We propose a novel information storage and distribution mechanism that takes into account the residual energy levels in individual sensors. Further, we propose a hybrid push-pull strategy that enables fast response to information discovery queries.
Simulations results prove the proposed method(s) of information discovery offer significant QoS benefits for global as well as individual queries in comparison to previous approaches.
Simulations results prove the proposed method(s) of information discovery offer significant QoS benefits for global as well as individual queries in comparison to previous approaches.
History
Journal
Lecture notes in computer scienceVolume
4904Pagination
310 - 321Publisher
SpringerLocation
Berlin, GermanyPublisher DOI
ISSN
0302-9743eISSN
1611-3349Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2008, Springer-VerlagUsage metrics
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