Joint routing and multi level data compression for lifetime optimization in wireless sensor networks

Author

Tavli, Bulent ; Ceylan, Onur

Author_Institution

Dept. of Comput. Eng., TOBB Univ. of Econ. & Technol., Ankara, Turkey

fYear

2009

fDate

14-16 Sept. 2009

Firstpage

692

Lastpage

696

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.

Keywords

data compression; telecommunication network routing; wireless sensor networks; energy balancing; flow balancing; lifetime optimization; multilevel data compression; network routing; single level mandatory data compression; tunable data compression; wireless sensor networks; Base stations; Computer networks; Data compression; Data engineering; Energy dissipation; Energy efficiency; Routing; Sensor phenomena and characterization; Tunable circuits and devices; Wireless sensor networks; energy-efficiency; linear programming; tunable compression; wireless sensor network;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Sciences, 2009. ISCIS 2009. 24th International Symposium on

Conference_Location

Guzelyurt

Print_ISBN

978-1-4244-5021-3

Electronic_ISBN

978-1-4244-5023-7

Type

conf

DOI

10.1109/ISCIS.2009.5291907

Filename

5291907