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

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 bi...

Full description

Saved in:
Bibliographic Details
Main Authors: Li, Xun, Ma, Hong-xu
Format: Conference Proceeding
Language:English
Subjects:
Ad hoc networks
Algorithm design and analysis
Multi-Robot System
Multi-Robot Task Allocation
Particle swarm optimization
Particle Swarm Optimization Algorithm
Robot sensing systems
Robots
Swarm Intelligence
Wireless communication
Wireless Sensor Network
Wireless sensor networks
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/ICINFA.2008.4608201