DocumentCode :
1884576
Title :
An Architecture of Multi-agent Systems for Sensor Network Used in Traffic Information Collection
Author :
Jun Yang ; He-sheng Zhang ; Cheng Pan ; Wei Sun
Author_Institution :
Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2013
fDate :
16-17 Jan. 2013
Firstpage :
183
Lastpage :
186
Abstract :
In order to implement coordinated control and collaborative information processing based on multi-agent systems (MAS) for sensor network used in traffic information collection, architecture of MAS for sensor network is presented in this paper. Two kinds of agents including sensor node agent and sink node agent, as well as the agents´ internal modules, are designed and implemented. The MAS architecture is verified in the distributed traffic control system, where traffic control is realized through the coordinated control and collaborative information processing of MAS. Simulation results also verified the feasibility of the proposed MAS architecture. According to the analysis and simulation results, we can conclude that, when used in coordinated control and collaborative information collection of sensor network for traffic information collection, the architecture of MAS presented in this paper is feasible.
Keywords :
computerised instrumentation; control engineering computing; distributed control; multi-agent systems; road traffic control; wireless sensor networks; MAS architecture; agent internal modules; collaborative information processing; coordinated control; distributed traffic control system; multiagent systems; road traffic information collection; sensor network; sensor node agent; sink node agent; Collaboration; Computer architecture; IP networks; Information processing; Routing; Sensors; Traffic control; collaboration; multi-agent systems; sensor network; traffic information collection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5652-7
Type :
conf
DOI :
10.1109/ICMTMA.2013.53
Filename :
6493698
Link To Document :
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