Title :
Getting Mobile Beacon Node Path in WSN Based on Ant Colony Algorithm
Author :
Bing, Hu ; Hongsheng, Li ; Sumin, Liu
Author_Institution :
Wuhan Univ. of Technol., Mech. & Autom., Wuhan, China
Abstract :
Because of restricted resources, wireless sensor networks need to consider synthetically the price of networks, and costs of communication and computing and so on. Aiming at the localization problem for mobile beacon node in wireless sensor network, this paper uses the ant colony algorithmpsilas characteristics which is self-organized, adaptive, dynamic optimization, integrating the hop number into the pheromone and supporting multiple paths, and proposed a kind of method for getting the mobile beacon node optimal path based on ant colony algorithm. Furthermore, various factors are analyzed for getting optimal path. Experimental results show that the proposed method is efficient.
Keywords :
mobile radio; optimisation; wireless sensor networks; ant colony algorithm; dynamic optimization; mobile beacon node path; wireless sensor networks; Ant colony optimization; Automation; Cities and towns; Computational intelligence; Computer networks; Costs; Mathematical model; Mobile computing; Position measurement; Wireless sensor networks; ant colony algorithm; mobile beacon; node localization; wireless sensor networks;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.149