Title :
Research of Improved GA in WSN Mobile Agent Routing Algorithm
Author :
Wang Jinghua ; Guan Tingting ; He Huan ; Chen Yuanyuan
Author_Institution :
Dept. of Comput. Sci., Huazhong Normal Univ., Wuhan, China
Abstract :
Mobile agent which has the features of migration and autonomy can be used in Wireless Sensor Network (WSN). An improved Genetic Algorithm (GA) is proposed to use in mobile agent-based routing algorithm to calculate the best routing for mobile agent´s migration in WSN. By improving the arithmetic operators, the improved GA can find the best routing, and optimize the performance of mobile agent-based systems according to communication cost for mobile agent. Simulation result shows that the improved GA is better than traditional GA on the globalization and the convergence rate.
Keywords :
genetic algorithms; mobile computing; software agents; wireless sensor networks; genetic algorithm; mobile agent; routing algorithm; wireless sensor network; Arithmetic; Bandwidth; Costs; Genetic algorithms; Mathematical model; Mobile agents; Mobile communication; Network servers; Routing; Wireless sensor networks;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5365955
