Title :
Application of Genetic Algorithm in Energy-Efficient Routing
Author :
Wenliang, Guo ; Huichang, Shi ; Jun, Yan ; Yifei, Zhou
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
Energy-saving is one of the inevitable problems of the routing design in wireless sensor networks. The article obtains network routings by genetic algorithm, and the genetic algorithm has been improved by using data fusion and the model of wireless energy transmission. The simulation results show that the improved algorithm has made great progress in balancing the consumption of energy so as to prolong the network lifetime.
Keywords :
energy consumption; genetic algorithms; sensor fusion; telecommunication network routing; wireless sensor networks; data fusion; energy consumption; energy-efficient routing; genetic algorithm; network routings; wireless energy transmission; wireless sensor networks; Communications technology; Computer networks; Energy consumption; Energy efficiency; Genetic algorithms; Genetic engineering; Radio transmitters; Receivers; Routing protocols; Wireless sensor networks; balance; data fusion; energy-saving; genetic algorithm;
Conference_Titel :
Microwave Conference, 2008 China-Japan Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3821-1
DOI :
10.1109/CJMW.2008.4772533