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Particle swarm optimization based multi-robot task allocation using wireless sensor network

Xun Li, Hongxu Ma

Year
2008
Citations
11

Abstract

To solve the multi-robot task allocation (MRTA) especially in unknown complex environment, a novel dynamic algorithm was put forward with the advantages of wireless sensor network (WSN). The architecture and sensor fusion of WSN were discussed. Particle swarm optimization (PSO) algorithm based on bionic swarm intelligence was used for solution of the multi-objective optimization. A practical implementation with real WSN and real mobile robots were carried out. The successful implementation of tasks validates the efficiency, stability and accuracy of the proposed algorithm.

Keywords

Particle swarm optimizationWireless sensor networkComputer scienceTask (project management)RobotMobile robotSwarm intelligenceStability (learning theory)Sensor fusionMulti-swarm optimization

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