an improved fast flocking algorithm with obstacle avoidance for multiagent dynamic systems
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an improved fast flocking algorithm with obstacle avoidance for multiagent dynamic systems

;Jialiang Wang;Hai Zhao;Yuanguo Bi;Shiliang Shao;Qian Liu;Xingchi Chen;Ruofan Zeng;Yu Wang;Le Ha
Chemico-biological interactions 2014 Vol. 2014 pp. -
228
wang2014journalan

Abstract

Flocking behavior is a common phenomenon in nature, such as flocks of birds and groups of fish. In order to make the agents effectively avoid obstacles and fast form flocking towards the direction of destination point, this paper proposes a fast multiagent obstacle avoidance (FMOA) algorithm. FMOA is illustrated based on the status of whether the flocking has formed. If flocking has not formed, agents should avoid the obstacles toward the direction of target. If otherwise, these agents have reached the state of lattice and then these agents only need to avoid the obstacles and ignore the direction of target. The experimental results show that the proposed FMOA algorithm has better performance in terms of flocking path length. Furthermore, the proposed FMOA algorithm is applied to the formation flying of quad-rotor helicopters. Compared with other technologies to perform the localization of quad-rotor helicopter, this paper innovatively constructs a smart environment by deploying some wireless sensor network (WSN) nodes using the proposed localization algorithm. Finally, the proposed FMOA algorithm is used to conduct the formation flying of these quad-rotor helicopters in the smart environment.

Keywords

Technology (General) meningitis mathematics therapeutics diseases of the musculoskeletal system life cycle assessment stenotrophomonas maltophilia supply chain critical care pharmacology first aid intensive care management engineeringsocial sciencescommercebusiness dynamic relationshipindustrial engineering

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DOI:
10.1155/2014/659805
URL:
http://dx.doi.org/10.1155/2014/659805

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ID: 257140
Ref Key: wang2014journalan
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