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Title:
lightweight particle filters based localization algorithm for mobile sensor networks
Author: Li An ; Sun Limin ; Liu Yan ; Ma Jian
Source: Proceedings - 2nd Int. Conf. Sensor Technol. Appl., SENSORCOMM 2008, Includes: MESH 2008 Conf. Mesh Networks; ENOPT 2008 Energy Optim. Wireless Sensors Networks, UNWAT 2008 Under Water Sensors Systems
Conference Name: 2nd International Conference on Sensor Technologies and Applications, SENSORCOMM 2008
Conference Date: August 25,
Issued Date: 2008
Conference Place: Cap Esterel, France
Keyword: Air filters ; Algorithms ; Bayesian networks ; Distributed computer systems ; Monte Carlo methods ; Nonlinear filtering ; Parameter estimation ; Sensors ; Signal filtering and prediction ; Target tracking ; Wave filters ; Wireless networks ; Wireless sen
Publish Place: United States
Indexed Type: EI
ISBN: 9780769533308
Department: (1) Beijing Institute of Technology, Beijing, China; (2) Naval Aeronautical and Astronautical University, Yantai, China; (3) Institute of Software, Chinese Academy of Sciences, Beijing, China; (4) School of Software and Microelectronics, Peiking Universit
Sponsorship: IARIA
English Abstract: Nodes localization in mobile sensor networks can be dealt as a problem of mobile object tracking. The Particle Filters algorithm which is based on Bayesian estimation and Monte Carlo method is an effective tool to deal with these problems. The Particle Fi
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/10450
Appears in Collections:信息安全国家重点实验室_会议论文

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Recommended Citation:
Li An,Sun Limin,Liu Yan,et al. lightweight particle filters based localization algorithm for mobile sensor networks[C]. 见:2nd International Conference on Sensor Technologies and Applications, SENSORCOMM 2008. Cap Esterel, France. August 25,.
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