Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6959
Title: | Joint Routing and Multi Level Data Compression for Lifetime Optimization in Wireless Sensor Networks | Authors: | Tavlı, Bülent Ceylan, Onur |
Keywords: | wireless sensor network tunable compression linear programming energy-efficiency |
Publisher: | IEEE | Source: | 24th International Symposium on Computer and Information Sciences -- SEP 14-16, 2009 -- Guzelyurt, CYPRUS | Abstract: | In this paper we present a framework to investigate the effects of tunable data compression on sensor network lifetime. In our framework we integrate tunable data compression with flow balancing to extend the overall system lifetime beyond the lifetime achievable by flow balancing and single level mandatory data compression. Analysis of energy balancing through flow balancing in conjunction with tunable compression, mandatory compression, and no compression strategies reveal that the lifetime achievable with energy balancing with optimal tunable data compression results in significantly longer network lifetimes than the other strategies. | URI: | https://hdl.handle.net/20.500.11851/6959 | ISBN: | 978-1-4244-5021-3 |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
WEB OF SCIENCETM
Citations
1
checked on Oct 5, 2024
Page view(s)
60
checked on Nov 11, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.