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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fangzhen Li Fei Yang Xuefen Zhang |
| Copyright Year | 2010 |
| Description | Author affiliation: Shandong Provincial Key Laboratory of Digital Media, School of Computer Science & Technology Shandong, Economic University Jinan, Shandong, China, 250014 (Fangzhen Li) || The Patent Office of SIPO, P.R.C NO.6 XiTu Cheng Road, Beijing, China, 100888 (Fei Yang) || Key Laboratory of Universal Wireless Communications, Beijing University of Posts and elecommunications, Beijing, China, 100876 (Xuefen Zhang) |
| Abstract | We consider optimal power allocation algorithm for Distributed Sensing networks under the assumption of a group of sensors observe the same quantity in independent additive observation noises with possibly different variances. Each node computes a local statistic and communicates it to the fusion center over rayleigh fading wireless channels. At the fusion, the linear minimum mean square error(LMMSE) is used. Sensor networks in which energy is a limited resource so that we propose an optimal power allocation algorithm, In this paper, for a given power constraints, two types of power allocation methods are considered: 1) equal power transmission strategy, and 2) the optimal power allocation strategy. Finally, we demonstrate the applicability of our results through numerical examples. Compared the two cases, result shows that the optimal distributed estimation algorithm for homogeneous sensor networks achieved the power gain by turning off sensors with bad channels and bad observation quality. |
| Starting Page | 414 |
| Ending Page | 418 |
| File Size | 361967 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424452637 |
| DOI | 10.1109/ICIME.2010.5477830 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Wireless sensor networks distributed estimation energy power allocation Laboratories Fusion power generation Power generation economics Sensor phenomena and characterization Sensor fusion Turning Signal generators Resource management |
| Content Type | Text |
| Resource Type | Article |
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