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
fDate :
Jan. 30 2012-Feb. 2 2012
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;
Conference_Titel :
Communications Theory Workshop (AusCTW), 2012 Australian
Conference_Location :
Wellington
Print_ISBN :
978-1-4577-1961-5
DOI :
10.1109/AusCTW.2012.6164922