Earticle

초록

영어

The localization requirements for mobile nodes in wireless (sensor) networks are increasing. However, most research works are based on range measurements between nodes which are often oversensitive to the measurement error. In this paper we propose a location estimation scheme based on moving nodes that opportunistically exchange known positions. The user couples a linear matrix inequality (LMI) method with a barycenter computation to estimate its position. Simulations have shown that the accuracy of the estimation increases when the number of known positions increases, the radio range decreases and the node speeds increase. The proposed method only depends on a maximum RSS threshold to take into account a known position, which makes it robust and easy to implement. To obtain an accuracy of 1 meter, a user may have to wait at the same position for 5 minutes, with 8 pedestrians moving within range on average.

목차

Abstract
 1. Introduction
 2. Localization algorithm
 3. Simulation setup
  3.1. Simulation introduction
  3.2. Random pedestrian mobility model
  3.3. Bounding the movements
 4. Simulation results
  4.1. LMI location estimation
  4.2. Barycenter location estimation
  4.3. Impact of the simulation parameters
 5. Conclusions and future work
 References

저자

• GuoDong Kang [ School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China; LAAS-CNRS ; ISAE ;Université de Toulouse ; F-31077 Toulouse, France ]
• Tanguy Pérennou [ LAAS-CNRS ; ISAE ;Université de Toulouse ; F-31077 Toulouse, France ]
• Michel Diaz [ LAAS-CNRS ; ISAE ;Université de Toulouse ; F-31077 Toulouse, France ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605