Distributed energy consumption minimization for lossless data gathering wireless sensor networks

Author

Dedeoglu, Volkan ; Perreau, Sylvie ; Grant, Alex

Author_Institution

Inst. for Telecommun. Res. (ITR), Univ. of South Australia, Adelaide, SA, Australia

fYear

2012

fDate

Jan. 30 2012-Feb. 2 2012

Firstpage

145

Lastpage

149

Abstract

In this paper, we propose a distributed optimization algorithm that minimizes the energy consumption of lossless data gathering wireless sensor networks by allocating variable transmit power and data compression/transmission rate to each sensor node. Using the Lagrange duality, we decompose the convex energy consumption minimization problem into subproblems, which can be solved by the sensor nodes distributively. The convergence of the iterative algorithm is demonstrated by the simulations.

Keywords

convergence of numerical methods; convex programming; duality (mathematics); energy consumption; iterative methods; minimisation; wireless sensor networks; Lagrange duality; convergence; convex energy consumption minimization; data compression; data transmission; distributed energy consumption minimization; iterative algorithm; lossless data gathering wireless sensor networks; variable transmit power allocation; Convex functions; Distributed databases; Energy consumption; Minimization; Optimization; Resource management; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications Theory Workshop (AusCTW), 2012 Australian

Conference_Location

Wellington

Print_ISBN

978-1-4577-1961-5

Type

conf

DOI

10.1109/AusCTW.2012.6164922

Filename

6164922