Title :
Genetic algorithm as energy optimization method in WSN
Author :
Bojan, Smidling ; Nikola, Zogovic
Author_Institution :
Inst. Mihajlo Pupin, Univ. of Belgrade, Belgrade, Serbia
Abstract :
In this paper we present a method for minimization of energy consumption during packet sending procedure in wireless sensor networks utilizing genetic algorithm. The proposed solution depends on careful observation of the optimization space and complete customization of genetic algorithm to suit the specific type of energy function. This way, energy minimum can be found with over 99.9% precision with additional minimization of error or memory space or CPU consumption, at the same time, as shown in this paper.
Keywords :
energy consumption; genetic algorithms; minimisation; wireless sensor networks; WSN; energy consumption; energy function; energy optimization method; genetic algorithm; minimization; packet sending procedure; wireless sensor networks; Biological cells; Energy efficiency; Genetic algorithms; Memory management; Optimization; Wireless communication; Wireless sensor networks; embeded systems; energy efficiency; genetic algorithm; optimization; run-time implementation; wireless sensor networks;
Conference_Titel :
Telecommunications Forum (TELFOR), 2013 21st
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-1419-7
DOI :
10.1109/TELFOR.2013.6716181
