Literatura académica sobre el tema "Energy network"
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Artículos de revistas sobre el tema "Energy network"
Saleh, Mohammed Mehdi, Ruslan Saad Abdulrahman y Aymen Jaber Salman. "Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs". Indonesian Journal of Electrical Engineering and Computer Science 24, n.º 2 (1 de noviembre de 2021): 910. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp910-920.
Texto completoChib, Manvi y Tamanna Pathania. "The Review of Energy Efficient Network". International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (30 de junio de 2019): 1006–8. http://dx.doi.org/10.31142/ijtsrd24036.
Texto completoAbasaheb, Jundale Poonam y Patil Yogita Dattatraya. "Energy Efficient Compression for Wireless Sensor Network". International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (31 de agosto de 2018): 1820–24. http://dx.doi.org/10.31142/ijtsrd18171.
Texto completoTeh, Jiashen, Ching-Ming Lai y Yu-Huei Cheng. "Composite reliability evaluation for transmission network planning". AIMS Energy 6, n.º 1 (2018): 170–86. http://dx.doi.org/10.3934/energy.2018.1.170.
Texto completoConti, Stefania, Santi A. Rizzo, Nunzio Salerno y Giuseppe M. Tina. "Distribution network topology identification based on synchrophasor". AIMS Energy 6, n.º 2 (2018): 245–60. http://dx.doi.org/10.3934/energy.2018.2.245.
Texto completoVasudev, Arpitha, A. M. Sowmya y G. Manjula. "Applying Intermittent Energy Distribution for Evading Energy Holes in Wireless Sensor Network". Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (31 de octubre de 2016): 217–19. http://dx.doi.org/10.9756/bijsesc.8281.
Texto completoMa, De Xin, Jian Ma, Peng Min Xu, Cai Xia Song y Ying Pang. "Solar-Powered Wireless Sensor Network’s Energy Gathering Technology". Applied Mechanics and Materials 477-478 (diciembre de 2013): 396–99. http://dx.doi.org/10.4028/www.scientific.net/amm.477-478.396.
Texto completoLam, Albert Y. S., Ka-Cheong Leung y Victor O. K. Li. "Vehicular Energy Network". IEEE Transactions on Transportation Electrification 3, n.º 2 (junio de 2017): 392–404. http://dx.doi.org/10.1109/tte.2017.2649887.
Texto completoGelenbe, Erol y Omer H. Abdelrahman. "An Energy Packet Network model for mobile networks with energy harvesting". Nonlinear Theory and Its Applications, IEICE 9, n.º 3 (2018): 322–36. http://dx.doi.org/10.1587/nolta.9.322.
Texto completoElgibaly, Ahmed A., Mohamed Ghareeb, Said Kamel y Mohamed El-Sayed El-Bassiouny. "Prediction of gas-lift performance using neural network analysis". AIMS Energy 9, n.º 2 (2021): 355–78. http://dx.doi.org/10.3934/energy.2021019.
Texto completoTesis sobre el tema "Energy network"
Shi, Xiaomeng Ph D. Massachusetts Institute of Technology. "Energy aware network coding in wireless networks". Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78533.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (p. 97-104).
Energy is one of the most important considerations in designing reliable low-power wireless communication networks. We focus on the problem of energy aware network coding. In particular, we investigate practical energy efficient network code design for wireless body area networks (WBAN). We first consider converge-cast in a star-shaped topology, in which a central base station (BS), or hub, manages and communicates directly with a set of nodes. We then consider a wireless-relay channel, in which a relay node assists in the transmission of data from a source to a destination. This wireless relay channel can be seen as a simplified extended star network, where nodes have relay capabilities. The objective is to investigate the use of network coding in these scenarios, with the goal of achieving reliability under low-energy and lower-power constraints. More specifically, in a star network, we propose a simple network layer protocol, study the mean energy to complete uploads of given packets from the nodes to the BS using a Markov chain model, and show through numerical examples that when reception energy is taken into account, the incorporation of network coding offers reductions in energy use. The amount of achievable gains depends on the number of nodes in the network, the degree of asymmetry in channel conditions experienced by different nodes, and the relative difference between transmitting and receiving power at the nodes. We also demonstrate the compatibility of the proposed scheme with the IEEE 802.15.6 WBAN standard by describing ways of incorporating network coding into systems compliant to the standard. For a wireless relay channel, we explore the strategic use of network coding according to both throughput and energy metrics. In the relay channel, a single source communicates to a single sink through the aid of a half-duplex relay. The fluid flow model is used to describe the case where both the source and the relay are coding, and Markov chain models are proposed to describe packet evolution if only the source or only the relay is coding. Although we do not attempt to explicitly categorize the optimal network coding strategies in the relay channel under different system parameters, we provide a framework for deciding whether and where to code, taking into account of throughput maximization and energy depletion constraints.
by Xiaomeng Shi.
Ph.D.
Rodriguez, Brljevich Esteban 1984. "Energy-aware virtual network mapping". [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275512.
Texto completoDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação
Made available in DSpace on 2018-08-25T09:43:36Z (GMT). No. of bitstreams: 1 RodriguezBrljevich_Esteban_M.pdf: 2281259 bytes, checksum: 12557ac80a34c2bff2547f1f2aff1eaa (MD5) Previous issue date: 2013
Resumo: A virtualização de redes é uma tecnologia promissora para a Internet do futuro, já que facilita a implementação de novos protocolos e aplicações sem a necessidade de alterar o núcleo da rede. Um passo chave para instanciar redes virtuais é a alocação de recursos físicos para elementos virtuais (roteadores e enlaces). A fim de contribuir para o esforço global de poupança de energia, a escolha de recursos físicos para instanciar uma rede virtual deveria minimizar o consumo de energia rede. No entanto, esta não é uma tarefa trivial, já que requerimentos de QoS devem ser atingidos. A busca da solução ótima deste problema é NP-difícil. O mapeamento de redes virtuais em substratos de rede físicos em cenários de alocaç?o e desalocaç?o de redes virtuais pode não levar a um consumo mínimo de energia devido à dinâmica das atribuições dos elementos virtuais previamente alocados. Tal dinâmica pode levar à subutilização da rede substrato. Para reduzir os efeitos negativos desta dinâmica, técnicas tais como a migração de redes virtuais em tempo real podem ser empregadas para rearranjar as redes virtuais previamente mapeadas para poupar energia. Esta dissertação apresenta um conjunto de novos algoritmos para o mapeamento de redes virtuais em substratos de rede com o objetivo de reduzir o consumo de energia. Além disso, dois novos algoritmos são propostos para a migração dos roteadores e enlaces virtuais para reduzir o número de roteadores e amplificadores ópticos requeridos. Os resultados obtidos por simulação mostram a eficácia dos algoritmos propostos
Abstract: Network virtualization is a promising technology for the Internet of the Future since it facilitates the deployment of new protocols and applications without the need of changing the core of the network. A key step to instantiate virtual networks is the allocation of physical resources to virtual elements (routers and links). In order to contribute to the global effort of saving energy, choice of physical resources to instantiate a virtual network needs to minimize the network energy consumption. However, this is not a trivial task, since the QoS of the application requirements has to be supported. Indeed, the search for the optimal solution of this problem is NP-hard. The mapping of virtual networks on network substrates at the arrival time of requests to the establishment of virtual networks may not lead to a global minimum energy consumption of energy due to the dynamic allocations and deallocations of virtual networks. Actually, such dynamics can lead to the underutilization of the network substrate. To mitigate the negative effect of this dynamics, techniques such as live migration can be employed to rearrange already mapped virtual networks to achieve energy savings. This dissertation presents a set of new algorithms for the mapping of virtual networks on network substrates aiming to reduce energy consumption. Additionally, two new algorithms are proposed for the migration of virtual routers and links to reduce the number of powered routers and optical amplifiers. Results derived by simulation show the efficacy of the proposed algorithms
Mestrado
Ciência da Computação
Mestre em Ciência da Computação
Yarlagadda, Jyothsna. "Energy-efficient even-parity network coding for adhoc networks". Thesis, Wichita State University, 2012. http://hdl.handle.net/10057/5982.
Texto completoThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
Musa, Mohamed Osman Ibrahim. "Energy efficient IP over WDM networks using network coding". Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/16644/.
Texto completoZhou, Yuanyuan. "Energy-efficient protocols and topologies for sensor and personal-area networks". Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Summer2007/y_zhou_072307.pdf.
Texto completoBrownfield, Michael I. "Energy-efficient Wireless Sensor Network MAC Protocol". Diss., This resource online, 2006. http://scholar.lib.vt.edu/theses/available/etd-04102006-170423/.
Texto completoVedantham, Ramanuja. "Energy-Efficient Network Protocols for Wireless Sensor and Actor Networks". Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13959.
Texto completoHenna, Shagufta. "Broadcasting, coverage, energy efficiency and network capacity in wireless networks". Thesis, University of Leicester, 2013. http://hdl.handle.net/2381/27808.
Texto completoZengin, Asli. "Energy-efficient Routing To Maximize Network Lifetime In Wireless Sensor Networks". Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608626/index.pdf.
Texto completoHinrichsen, Oscar. "An Evaluation of Network Protocols for Bluetooth Low Energy Mesh Networks". Thesis, Linköpings universitet, Kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122551.
Texto completoSakernas Internet (IoT) är ett scenario som skisserar objekt och människor som potentiella noder i ett ständigt växande trådlöst nätverk. Denna vision driver utvecklingen av trådlösa lågkostnadsteknologier som kan köras på portabla strömkällor i flera månader. En kandiderande teknik som har visat goda resultat inom detta område är Bluetooth Low Energy (BLE). Detta uppsatsarbete studerar flera tekniker för att möjliggöra och upprätthålla storskaliga meshnätverk över BLE-kommunikation. Den inledande studien granskar ett existerande översvämningsbaserat meshprotokoll för BLE. Uppsatsarbetet presenterar därefter ett förbättrat protokoll som reducerar strömförbrukningen med avseende på kvoten mellan antalet mottagna paket genom antalet skickade paket. Ytterliggare upprustningar som tillkommer i det förbättrade protokollet är en procedur för självanpassning, samt en algorithm för dirigering av paket. Simuleringar visar att det förbättrade protokollet kan spara upp till 50 % av strömkonsumptionen för en enhet, jämfört med originalprotokollet.
Libros sobre el tema "Energy network"
Designing green networks and network operations. Boca Raton: Auerbach Pub., 2010.
Buscar texto completoDaneshvar, Mohammadreza, Somayeh Asadi y Behnam Mohammadi-Ivatloo. Grid Modernization ─ Future Energy Network Infrastructure. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64099-6.
Texto completoMishra, Vishram, Jimson Mathew y Chiew-Tong Lau. QoS and Energy Management in Cognitive Radio Network. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45860-1.
Texto completoChristensen, J. M. AFREPREN: The African Energy Policy Research Network : an evaluation. Stockholm: Swedish Agency for Research Cooperation with Developing Countries, 1994.
Buscar texto completoWaudo, Albert. Directory for the East African Energy Technology Development Network. Nairobi]: East African Energy Technology Development Network, 2003.
Buscar texto completoHouweling, Feico. Energy on-line: A guide to Internet resources. London: FinancialTimes Energy, 1996.
Buscar texto completoEnerugī seisaku no inobēshon: Genpatsu no owari korekara no shakai : Network globally, Innovate locally. Kyōto-shi: Gakugei Shuppansha, 2011.
Buscar texto completoMinoli, Daniel. Designing green networks and network operations: Saving run-the-engine costs. Boca Raton: Auerbach Pub., 2010.
Buscar texto completoSchumann, Roland W. Energy guide to the Internet. Washington, DC: Utility Data Institute, 1995.
Buscar texto completoLumbreras, Sara, Hamdi Abdi y Andrés Ramos, eds. Transmission Expansion Planning: The Network Challenges of the Energy Transition. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49428-5.
Texto completoCapítulos de libros sobre el tema "Energy network"
Bouhouras, Aggelos S., Paschalis A. Gkaidatzis y Dimitris P. Labridis. "Network Reconfiguration in Modern Power Distribution Networks". En Energy Systems, 219–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36115-0_7.
Texto completoJost, Sebastian, Mirko Schäfer y Martin Greiner. "Network Perspective of Wind-Power Production". En Wind Energy, 147–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33866-6_26.
Texto completoLópez, Julio, Marcos J. Rider y Javier Contreras. "Electric Distribution Network Planning Under Uncertainty". En Energy Systems, 293–323. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36115-0_10.
Texto completoSedghi, Mahdi, Ali Ahmadian, Ali Elkamel, Masoud Aliakbar Golkar y Michael Fowler. "Battery Energy Storage Planning". En Electric Distribution Network Planning, 185–214. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7056-3_7.
Texto completoAlguacil, Natalia, José M. Arroyo y Miguel Carrión. "Transmission Network Expansion Planning Under Deliberate Outages". En Energy Systems, 365–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02493-1_16.
Texto completoNwulu, Nnamdi y Saheed Lekan Gbadamosi. "Transmission Network Expansion Planning". En Green Energy and Technology, 185–212. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-00395-1_9.
Texto completoLovell, Heather. "Networks". En Understanding Energy Innovation, 17–36. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6253-9_2.
Texto completoBonzanni, Andrea. "The Economics of Energy Networks". En The Palgrave Handbook of International Energy Economics, 213–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86884-0_13.
Texto completoWolak, Frank A. y Ian H. Hardman. "Technologies Providing Distribution Network Services". En Lecture Notes in Energy, 89–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85005-0_6.
Texto completoKazmi, S. M. Ahsan, Latif U. Khan, Nguyen H. Tran y Choong Seon Hong. "Network Slicing: Dynamic Isolation Provisioning and Energy Efficiency". En Network Slicing for 5G and Beyond Networks, 109–39. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16170-5_7.
Texto completoActas de conferencias sobre el tema "Energy network"
Drouineau, Mathilde, Vincent Mazauric, Edi Assoumou y Nadia Maizi. "Network reliability assessment towards long term planning". En 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781024.
Texto completoMusa, Mohamed O. I., Taisir E. H. El-Gorashi y Jaafar M. H. Elmirghani. "Energy efficient core networks using network coding". En 2015 17th International Conference on Transparent Optical Networks (ICTON). IEEE, 2015. http://dx.doi.org/10.1109/icton.2015.7193630.
Texto completoWang, Dexin, Rongqing Zhang, Xiang Cheng y Liuqing Yang. "Network Beamforming in Energy-Harvesting Relay Networks". En 2019 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2019. http://dx.doi.org/10.1109/iccchina.2019.8855802.
Texto completoLayton, Astrid, John Reap y Bert Bras. "A Correlation Between Thermal Efficiency and Biological Network Cyclicity". En ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54787.
Texto completoOchoa, L., C. Dent y G. Harrison. "Distribution network capacity assessment: Variable DG and active networks". En Energy Society General Meeting. IEEE, 2010. http://dx.doi.org/10.1109/pes.2010.5589284.
Texto completoPadhy, N. P., R. Bhakar, M. Nagendran y A. Kumar. "Dynamic network pricing based on smart reference networks". En 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges. IEEE, 2012. http://dx.doi.org/10.1109/pesgm.2012.6345374.
Texto completoBolla, Raffaele, Roberto Bruschi, Pasquale Donadio y Giorgio Parladori. "Energy efficiency in optical networks". En 2012 XVth International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2012. http://dx.doi.org/10.1109/netwks.2012.6381661.
Texto completoTang, Haiguo, Jiran Zhu, Chun Chen, Zhidan Zhang y Di Zhang. "Distribution Network Reconfiguration Based on Back Propagation neural networks". En 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2019. http://dx.doi.org/10.1109/ei247390.2019.9062258.
Texto completoLai, Baixi, Ping Yi, Yu Sui y Qingquan Zhang. "Energy Distribution in EV Energy Network under Energy Shortage". En 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2019. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2019.00363.
Texto completoChen, Biyun, Qiaoling Dai y Zhiwei Cui. "Risk assessment of distribution network considering network attack". En 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2017. http://dx.doi.org/10.1109/ei2.2017.8245650.
Texto completoInformes sobre el tema "Energy network"
Sivalingam, Krishna M. Energy Efficient Network Protocols for Wireless and Mobile Networks. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 2001. http://dx.doi.org/10.21236/ada400626.
Texto completoDart, Eli y Brian Tierney. Fusion Energy Sciences Network Requirements. Office of Scientific and Technical Information (OSTI), septiembre de 2012. http://dx.doi.org/10.2172/1173171.
Texto completoShannon, Anahma. Bering Strait Energy Planning Network. Office of Scientific and Technical Information (OSTI), septiembre de 2022. http://dx.doi.org/10.2172/1885467.
Texto completoArmstrong, Whitney, John Arrington, Ed Balas, Debbie Bard, Steve Beher, Laura Biven, Vincent Bonafede et al. Energy Sciences Network (ESnet): Nuclear Physics Network Requirements Review Report. Office of Scientific and Technical Information (OSTI), mayo de 2019. http://dx.doi.org/10.2172/1631129.
Texto completoAndersen, Glen y Megan Cleveland. State Solar Energy Training and Network. Office of Scientific and Technical Information (OSTI), enero de 2019. http://dx.doi.org/10.2172/1490198.
Texto completoAnderson, A. V. y D. P. Henderson. Energy Efficiency and Renewable Energy Network (EREN): Customer satisfaction survey. Office of Scientific and Technical Information (OSTI), abril de 1996. http://dx.doi.org/10.2172/224279.
Texto completoKranefeld, Robert. Beyond the grid : post-network energy provision in Rwanda. Goethe-Universität, Institut für Humangeographie, febrero de 2020. http://dx.doi.org/10.21248/gups.53186.
Texto completoHoldridge, Robert E. Neural Network Analysis of LEAP Energy Spectra. Office of Scientific and Technical Information (OSTI), septiembre de 2002. http://dx.doi.org/10.2172/801808.
Texto completoZurawski, Jason, Benjamin Brown, Eli Dart, Carol Hawk, Saswata Hier-Majumder, Joshua King, John Mandrekas et al. 2021 Fusion Energy Sciences Network Requirements Review. Office of Scientific and Technical Information (OSTI), mayo de 2022. http://dx.doi.org/10.2172/1869287.
Texto completoDart, Eli, Lothar Bauerdick, Greg Bell, Leandro Ciuffo, Sridhara Dasu, Vince Dattoria, Kaushik De et al. High Energy Physics and Nuclear Physics Network Requirements. Office of Scientific and Technical Information (OSTI), marzo de 2014. http://dx.doi.org/10.2172/1134243.
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