Title :
Design of Node Power Management in WSN Based on Ant Colony Algorithm
Author :
Hongsheng, Li ; Sumin, Liu ; Bing, Hu
Author_Institution :
Dept. of Autom., Wuhan Univ. of Technol., Wuhan
Abstract :
Appropriate node management of networks in the limited resources of the wireless sensor network for effectively control the energy of networks is one of the key points in research on wireless sensor networks. Using of ant colony algorithmpsilas characteristics, self-organized, adaptive and dynamic optimization, this paper proposed a new power management which can reduce the node power and re-establish of a new node routing links, to enhance the viability of the entire network, improve the life of the network. Simulation results show that the ant colony algorithm can be applied to node power management of wireless sensor network a good way with obvious energy-saving.
Keywords :
optimisation; telecommunication network management; telecommunication network routing; wireless sensor networks; ant colony algorithm; dynamic optimization; energy-saving; node power management; node routing links; self-organized optimization; wireless sensor network; Algorithm design and analysis; Ant colony optimization; Conference management; Design automation; Energy management; Resource management; Routing; Technology management; Wireless communication; Wireless sensor networks; ant colony algorithm; network routing; node power management; wireless sensor networks;
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
DOI :
10.1109/NSWCTC.2009.212