Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7228
Title: Optimal Data Compression and Forwarding in Wireless Sensor Networks
Authors: Tavlı, Bülent
Bağcı, İbrahim Ethem
Ceylan, Onur
Keywords: Tunable data compression
wireless sensor networks
linear programming
energy efficiency
network lifetime
Issue Date: 2010
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Abstract: In this letter, we present a Linear Programming framework for modeling dynamic data compression and decompression in conjunction with flow balancing in wireless sensor networks. Using the developed framework, we investigated the sensor network lifetimes for different network sizes with various data compression and flow balancing strategies. Our results show that neither compressing all data nor avoiding data compression completely can achieve the longest possible network lifetime. Dynamic data transformation is shown to achieve significantly longer network lifetimes than the lifetimes obtained with the two pure strategies above.
URI: https://doi.org/10.1109/LCOMM.2010.05.092372
https://hdl.handle.net/20.500.11851/7228
ISSN: 1089-7798
1558-2558
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

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