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Content Provider | IEEE Xplore Digital Library |
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Author | Xuefen Zhang Changchuan Yin Guangxin Yue Huarui Wu |
Copyright Year | 2010 |
Abstract | We consider energy-efficient Distributed Detection in wireless sensor networks. It is assumed that 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 a fusion center over Rayleigh fading wireless channels.At the fusion,the linear minimum mean square error(LMMSE) is used. In this paper Two types of constraints are considered: 1) transmission power constraints at the nodes, and 2) the communication channel between the nodes and the decision center. we propose a optimal distributed estimation algorithm in energy-constrained wireless sensor networks. Finally, we demonstrate the applicability of our results through numerical examples. |
Starting Page | 73 |
Ending Page | 77 |
File Size | 301919 |
Page Count | 5 |
File Format | |
ISBN | 9780769539409 |
e-ISBN | 9781424456673 |
DOI | 10.1109/ICFN.2010.24 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-01-22 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Additive noise distributed estimation Error analysis Laboratories Sensor fusion Sensor phenomena and characterization power allocation Wireless communication Wireless sensor networks Statistical distributions Fusion power generation energy efficiency Energy efficiency |
Content Type | Text |
Resource Type | Article |
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