1 resultado para Railway power network
em Research Open Access Repository of the University of East London.
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (12)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Archive of European Integration (5)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (6)
- Aston University Research Archive (37)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (7)
- Boston University Digital Common (10)
- Brock University, Canada (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (7)
- Cambridge University Engineering Department Publications Database (9)
- CentAUR: Central Archive University of Reading - UK (21)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (7)
- Cochin University of Science & Technology (CUSAT), India (6)
- Coffee Science - Universidade Federal de Lavras (3)
- CORA - Cork Open Research Archive - University College Cork - Ireland (11)
- Digital Commons - Michigan Tech (5)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (9)
- DigitalCommons@The Texas Medical Center (2)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (2)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (2)
- Indian Institute of Science - Bangalore - Índia (62)
- Instituto Politécnico de Viseu (3)
- Instituto Politécnico do Porto, Portugal (28)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (1)
- Memoria Académica - FaHCE, UNLP - Argentina (6)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (1)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (73)
- Queensland University of Technology - ePrints Archive (300)
- Repositório Científico da Universidade de Évora - Portugal (3)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (4)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (106)
- Research Open Access Repository of the University of East London. (1)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Universidad Politécnica de Madrid (30)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (4)
- Universidade Técnica de Lisboa (1)
- Universita di Parma (1)
- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (2)
- Université Laval Mémoires et thèses électroniques (1)
- University of Canberra Research Repository - Australia (2)
- University of Michigan (4)
- University of Queensland eSpace - Australia (6)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
- USA Library of Congress (1)
- WestminsterResearch - UK (2)
Resumo:
Cognitive radio (CR) is fast emerging as a promising technology that can meet the machine-to machine (M2M) communication requirements for spectrum utilization and power control for large number of machines/devices expected to be connected to the Internet-of Things (IoT). Power control in CR as a secondary user can been modelled as a non-cooperative game cost function to quantify and reduce its effects of interference while occupying the same spectrum as primary user without adversely affecting the required quality of service (QoS) in the network. In this paper a power loss exponent that factors in diverse operating environments for IoT is employed in the non-cooperative game cost function to quantify the required power of transmission in the network. The approach would enable various CRs to transmit with lesser power thereby saving battery consumption or increasing the number of secondary users thereby optimizing the network resources efficiently.