File:Distributed algorithms for beamforming in wirless (sic) sensor networks (IA distributedlgori109453397).pdf
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Summary[edit]
Distributed algorithms for beamforming in wirless [sic] sensor networks
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| Author |
Papalexidis, Nikolaos |
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| Title |
Distributed algorithms for beamforming in wirless [sic] sensor networks |
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| Publisher |
Monterey, California. Naval Postgraduate School |
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| Description |
Sensor nodes in a wireless sensor network (WSN) can establish a link with a UAV by using beamforming techniques to form a random array with position errors. The position errors' effect in the array performance is examined using a MATLAB-based simulation model. In order to spread the processing and communication load among the nodes, two new distributed algorithms for beamforming in WSN, based on the least squares (LS) approximation of the desired array response, are proposed. The first is a distributed implementation of the QR decomposition, and the second is an iterative method for solving the LS problem. Results indicate that the processing load is effectively shared among the nodes. Especially, in the second approach, the processing load can be lower than that of the centralized approach, depending on the algorithm's convergence. For both algorithms, the tradeoff for the ability to spread the processing load is the increased communication cost, which could cause an overall increase in the total power consumption in the network. However, the average power per participating sensor node is still lower than that required by the cluster head in the centralized approach. Consequently, the network's susceptibility to failures due to excessive power consumption is greatly reduced. Subjects: Electrical engineering; Algorithms; Energy consumption |
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| Language | English | |
| Publication date | June 2007 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
distributedlgori109453397 |
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| Source | ||
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted. | |
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 12:34, 17 July 2020 |  | 1,275 × 1,650, 137 pages (783 KB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection distributedlgori109453397 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #14100) |
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