DocumentCode :
3498357
Title :
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
Link To Document :
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