Title :
A mobile agent routing algorithm based on improved genetic algorithm for wireless sensor networks
Author :
Xiang-li Wang ; La-Yuan Li
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
Abstract :
For the energy consumption problem of wireless sensor networks, a mobile agent routing based on improved genetic algorithm (MARIGA) is proposed in this paper. This algorithm introduces a new crossover strategy and mutation operator to effectively control the premature stagnation in the convergence process. The simulation results indicate that the MARIGA algorithm can effectively improve the routing quality of mobile agent and the energy consumption of network.
Keywords :
energy consumption; genetic algorithms; mobile agents; telecommunication computing; telecommunication network routing; MARIGA algorithm; crossover strategy; energy consumption; energy consumption problem; improved genetic algorithm; mobile agent; mobile agent routing algorithm; premature stagnation; routing quality; wireless sensor networks; Algorithm design and analysis; Energy consumption; Genetic algorithms; Mobile agents; Monitoring; Routing; Wireless sensor networks; genetic algorithm; mobile agent; routing; wireless sensor network;
Conference_Titel :
Uncertainty Reasoning and Knowledge Engineering (URKE), 2012 2nd International Conference on
Conference_Location :
Jalarta
Print_ISBN :
978-1-4673-1459-6
DOI :
10.1109/URKE.2012.6319547