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| Sensor selection for parameterized random field estimation in wireless sensor networks | |
| 作者姓名： | Yang WENG Wendong XIAO Lihua XIE |
| 作者单位： | School of Electrical and Electronic Engineering, Nanyang Technological University; School of Mathematics, Sichuan University,Institute for Infocomm Research, Singapore,School of Electrical and Electronic Engineering, Nanyang Technological University |
| 基金项目： | This work was partly supported by the National Natural Science Foundation of China-Key Program (No. 61032001) and the National Natural Science Foundation of China (No. 60828006). |
| 摘 要： | We consider the random field estimation problem with parametric trend in wireless sensor networks where the field can be described by unknown parameters to be estimated. Due to the limited resources, the network selects only a subset of the sensors to perform the estimation task with a desired performance under the D-optimal criterion. We propose a greedy sampling scheme to select the sensor nodes according to the information gain of the sensors. A distributed algorithm is also developed by consensus-based ... |
| 收稿时间： | 2/1/2011 12:00:00 AM |
| 修稿时间： | 2/1/2011 12:00:00 AM |
Sensor selection for parameterized random field estimation in wireless sensor networks |
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| Yang WENG,Wendong XIAO,Lihua XIE.Sensor selection for parameterized random field estimation in wireless sensor networks[J].Journal of Control Theory and Applications,2011,9(1):044-050. | |
| Authors: | Yang WENG Wendong XIAO and Lihua XIE |
| Affiliation: | 1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798;School of Mathematics, Sichuan University, Chengdu Sichuan 610064, China 2. Institute for Infocomm Research,Singapore,138632 3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798 |
| Abstract: | We consider the random field estimation problem with parametric trend in wireless sensor networks where the field can be described by unknown parameters to be estimated. Due to the limited resources, the network selects only a subset of the sensors to perform the estimation task with a desired performance under the D-optimal criterion.We propose a greedy sampling scheme to select the sensor nodes according to the information gain of the sensors. A distributed algorithm is also developed by consensus-based incremental sensor node selection through information quality computation for and message exchange among neighboring sensors. Simulation results show the good performance of the proposed algorithms. |
| Keywords: | Random field estimation Parametric trend Wireless sensor network Sensor selection NP-completeness Distributed processing |
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