An effective algorithm based on signal coverage of effective communication and local energy-consumption saving strategy is proposed for the application in wireless sensor *** algorithm consists of two *** is the multi...
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An effective algorithm based on signal coverage of effective communication and local energy-consumption saving strategy is proposed for the application in wireless sensor *** algorithm consists of two *** is the multi-hop partition subspaces clustering algorithm for ensuring local energybalanced consumption ascribed to the deployment from another algorithm of distributed locating deployment based on efficient communication coverage probability(DLD-ECCP).DLD-ECCP makes use of the characteristics of Markov chain and probabilistic optimization to obtain the optimum topology and number of sensor *** simulation,the relative data demonstrate the advantages of the proposed approaches on saving hardware resources and energy consumption of networks.
作者：
The Pteridophyte Phylogeny GroupAuthors for correspondence. E-mail: schuettpelze@si.edu and haralds@*** Recommended citation: PPG I (2016). This project was organized by Eric Schuettpelz*
Harald Schneider *
Alan R. Smith
Peter Hovenkamp
Jefferson Prado
Germinal Rouhan
Alexandre Salino
Michael Sundue
Tha_is Elias Almeida
Barbara Parris
Emily B. Sessa
Ashley R. Field
Andr_e Lu_is de Gasper
Carl J. Rothfels
Michael D. Windham
Marcus Lehnert
Benjamin Dauphin
Atsushi Ebihara
Samuli Lehtonen
Pedro Bond Schwartsburd
Jordan Metzgar
Li-Bing Zhang
Li-Yaung Kuo
Patrick J. Brownsey
Masahiro Kato
and Marcelo Daniel Arana with additional contributions from (in alphabetical order): Francine C. Assis
Michael S. Barker
David S. Barrington
Ho-Ming Chang
Yi-Han Chang
Yi-Shan Chao
Cheng-Wei Chen
De-Kui Chen
Wen-Liang Chiou
Vin_icius Antonio de Oliveira Dittrich
Yi-Fan Duan
Jean-Yves Dubuisson
Donald R. Farrar
Susan Fawcett
Jose Mar_ia Gabriel y Gal_an
Luiz Armando de Ara_ujo G_oes-Neto
Jason R. Grant
Amanda L. Grusz
Christopher Haufler
Warren Hauk
Hai He
Sabine Hennequin
Regina Yoshie Hirai
Layne Huiet
Michael Kessler
Petra Korall
Paulo H. Labiak
Anders Larsson
Blanca Le_on
Chun-Xiang Li
Fay-Wei Li
Melanie Link-P_erez
Hong-Mei Liu
Ngan Thi Lu
Esteban I. Meza-Torres
Xin-Yuan Miao
Robbin Moran
Claudine Massi Mynssen
Nathalie Nagalingum
Benjamin Ø llgaard
Alison M. Paul
Jovani B. de S. Pereira
Leon R. Perrie
M_onica Ponce
Tom A. Ranker
Christian Schulz
Wataru Shinohara
Alexander Shmakov
Erin M. Sigel
Filipe Soares de Souza
Lana da Silva Sylvestre
Weston Testo
Luz Amparo Triana-Moreno
Chie Tsutsumi
Hanna Tuomisto
Iv_an A. Valdespino
Alejandra Vasco
Raquel Stauffer Viveros
Alan Weakley
Ran Wei
Stina Weststrand
Paul G. Wolf
George Yatskievych
Xiao-Gang Xu
Yue-Hong Yan
Liang Zhang
Xian-Chun Zhang
and Xin-Mao Zhou .Department of Botany
National Museum of Natural History Smithsonian In
Phylogeny has long informed pteridophyte classification. As our ability to infer evolutionary trees has improved, classifications aimed at recognizing natural groups have become increasingly predictive and stable. Her...
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Phylogeny has long informed pteridophyte classification. As our ability to infer evolutionary trees has improved, classifications aimed at recognizing natural groups have become increasingly predictive and stable. Here, we provide a modern, comprehensive classification for lycophytes and ferns, down to the genus level, utilizing a community-based approach. We use monophyly as the primary criterion for the recognition of taxa, but also aim to preserve existing taxa and circumscriptions that are both widely accepted and consistent with our understanding of pteridophyte phylogeny. In total, this classification treats an estimated 11 916 species in 337 genera, 51 families, 14 orders, and two classes. This classification is not intended as the final word on lycophyte and fern taxonomy, but rather a summary statement of current hypotheses, derived from the best available data and shaped by those most familiar with the plants in question. We hope that it will serve as a resource for those wanting references to the recent literature on pteridophyte phylogeny and classification, a framework for guiding future investigations, and a stimulus to further discourse.
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