Earticle

초록

영어

WSN technology has strong advantages in the facet of environmental perception; node localization and path selection. The WSN technology combining with Multi Mobile Robots (MMR)can gain the ability of its self-planning, self-organization and self-adaption under the complex environment situation. The engineering record shows that the formation control of multi mobile robots is easily broken down. Even if a careful created robot formation at the great cost of manpower and material resources, it is possible breaking down when facing with unknown and complex environment. Recently, the traditional mobile robots formation also facing fault tolerance problem as well, such problems as low coupling, bad robustness and agreement diversification, especially hard to remedy the trouble when occurring the communication breakdown or damage. While WSN networks conducts a research on fault tolerant techniques, robots will show their advantages over localization, distance measuring, fault diagnosis, breakdown maintenance and formation recovery. Robots are installed WSN sensor node can perceive location between nodes by using this algorithm, the paper will proposing an algorithm based on WSN-MMR fault diagnosis through comparing the data perceived by neighbor nodes. It can ensure that the checked node situation and spread the state to other neighboring nodes in the networks. The algorithm can realize the fault diagnosis of the nodes and have a good performance, its feasibility and effectiveness can be tested.

목차

Abstract
 1. Introduction
 2. The Fault Model of Nodes
  2.1. Network Model
  2.2. Data Model
 3. Fault Diagnoses Method
  3.1. The Network Communication Diagram and Node State Definition
  3.2. Node Fault Diagnosis Algorithm
 4. Simulation Results and Analysis
 5. Conclusion
 References

키워드

저자

• Li ShiWei [ Department of Information Science and Technology Heilongjiang University, Harbin 150080, China ]
• Ding Mingli [ Department of Automatic Test & Control, Harbin Institute of Technology Harbin 150001 China ]
• Zhao YongPing [ Department of Automatic Test & Control, Harbin Institute of Technology Harbin 150001 China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605