Title :
Ant colony optimization for wireless sensor networks routing
Author :
Yan, Jian-feng ; Gao, Yang ; Yang, Lu
Author_Institution :
Sch. of Comput. Sci. & Technol., Soochow Univ., Soochow, China
Abstract :
Due to energy limitation of sensors, maximization of lifetime is the key to performance of WSN routing protocol. In this paper, we introduce a heuristic way to reduce energy consumption in WSNs routing process using Ant Colony Optimization. We introduce three Ant Colony Optimization algorithms, the Ant System, Ant Colony System and improved AS and their application in WSN routing process. The simulation results show that ACO is an effective way to reduce energy consumption and maximize WSN lifetime.
Keywords :
optimisation; routing protocols; wireless sensor networks; WSN routing process; ant colony optimization; energy consumption; wireless sensor networks routing protocol; Ant colony optimization; Delay; Energy consumption; Routing; Routing protocols; Sensors; Wireless sensor networks; Ant Colony Optimization; Improved Ant System; Routing Protocol; Wireless Sensor Network;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016670
