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

fYear

2012

fDate

14-15 Aug. 2012

Firstpage

208

Lastpage

211

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Reasoning and Knowledge Engineering (URKE), 2012 2nd International Conference on

Conference_Location

Jalarta

Print_ISBN

978-1-4673-1459-6

Type

conf

DOI

10.1109/URKE.2012.6319547

Filename

6319547