Literatura académica sobre el tema "Traffic relaying"
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Artículos de revistas sobre el tema "Traffic relaying"
Lorenzo, Beatriz y Savo Glisic. "Traffic adaptive relaying topology control". IEEE Transactions on Wireless Communications 8, n.º 11 (noviembre de 2009): 5612–20. http://dx.doi.org/10.1109/twc.2009.081613.
Texto completoChen, Jian, Lu Lv, Wenjin Geng y Yonghong Kuo. "Energy-Aware Hybrid Cooperative Relaying with Asymmetric Traffic". ETRI Journal 37, n.º 4 (1 de agosto de 2015): 717–26. http://dx.doi.org/10.4218/etrij.15.0114.0522.
Texto completoWECHTAISONG, Chitapong y Hiroaki MORINO. "Delay Insertion Based P2PTV Traffic Localization Considering Peer's Relaying Capability". IEICE Transactions on Communications E100.B, n.º 10 (2017): 1798–806. http://dx.doi.org/10.1587/transcom.2016ebp3367.
Texto completoNordio, Alessandro, Carla-Fabiana Chiasserini y Tamer ElBatt. "Fair Traffic Relaying for Two-Source-One-Destination Wireless Networks". IEEE Wireless Communications Letters 1, n.º 1 (febrero de 2012): 1–4. http://dx.doi.org/10.1109/wcl.2012.102811.110021.
Texto completoAbdou, AbdelRahman, Ashraf Matrawy y Paul C. van Oorschot. "Taxing the Queue: Hindering Middleboxes From Unauthorized Large-Scale Traffic Relaying". IEEE Communications Letters 19, n.º 1 (enero de 2015): 42–45. http://dx.doi.org/10.1109/lcomm.2014.2349973.
Texto completoTian, Feng, Xu Yuan, Y. Thomas Hou, Wenjing Lou y Zhen Yang. "Cost Minimization for Cooperative Traffic Relaying Between Primary and Secondary Networks". IEEE Transactions on Mobile Computing 17, n.º 9 (1 de septiembre de 2018): 2014–27. http://dx.doi.org/10.1109/tmc.2018.2795607.
Texto completoZhang, ChenSi, JianHua Ge, Jing Li, Bin Zhu y XiaoYe Shi. "Traffic-knowledge-based relay selection for asymmetric two-way AF relaying networks". Science China Information Sciences 56, n.º 4 (19 de febrero de 2013): 1–6. http://dx.doi.org/10.1007/s11432-012-4755-8.
Texto completoNordio, Alessandro, Vahid Forutan y Carla-Fabiana Chiasserini. "Upper Bounds to the Performance of Cooperative Traffic Relaying in Wireless Linear Networks". IEEE Transactions on Wireless Communications 12, n.º 3 (marzo de 2013): 1–9. http://dx.doi.org/10.1109/twc.2013.012513.121016.
Texto completoShi, JingJing, JianHua Ge, Jing Li y Yang Gao. "Traffic-information-utilized low-complexity relay selection for two-way AF relaying networks". Science China Information Sciences 56, n.º 9 (septiembre de 2013): 1–5. http://dx.doi.org/10.1007/s11432-013-4978-3.
Texto completoHe, Shi, Bing Gao y Zhang Jun Fan. "Outage Performance of Multiuser AF Two-Way Relaying with Asymmetric Traffic Requirements over Nakagami-m Fading". Applied Mechanics and Materials 556-562 (mayo de 2014): 4530–35. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4530.
Texto completoTesis sobre el tema "Traffic relaying"
Tekdogan, Ridvan. "Improving Throughput By Traffic Aware Routing In Non-transparent Ieee 802.16j Networks". Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12611806/index.pdf.
Texto completoČechová, Zuzana. "Bezpečnostní inspekce a řešení bodových závad na komunikaci I/43 v úseku Milonice - Krhov". Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2016. http://www.nusl.cz/ntk/nusl-239975.
Texto completoMutel, Alexandre. "La Filamine A, acteur central relayant les mécanismes d'invasion des gliomes de haut-grades : implication dans la signalisation et le trafic du récepteur chimiotactique de l'urotensine II Re-expression of Filamin A in glioblastoma promotes tne endogenous and chemokine receptor UT-induced migration/invasion : marker of aggressiveness and survival Association between vasoactive peptide urotensin II in plasma and cerebral vasospasm after aneurysmal subarachnoid hemorrhage : a potential therapeutic target". Thesis, Normandie, 2019. http://www.theses.fr/2019NORMR081.
Texto completoMultiform glioblastoma (GBM) are the most frequent and aggressive tumor of the central nervous system (CNS). The standard treatment therapy for GBM follows the “Stupp protocol”consisting in the most complete surgical resection combined with radio/chemotherapy with temozolomide (TMZ). Despite this heavy first line treatment, patients with GBM display a survival median of only 14.6 months. Even if the resection as large as possible, the diffuse properties of GBM cells leads to a quasi-systematic invasion of the margin of the resection cavity. The healthy brain parenchyma invasion by GBM cells, in margin or at distance of the resection cavity, constitutes a main therapeutic issue. These invasion mechanisms are carried by cell transformations caused by the microenvironment such as hypoxia and angiogenesis responsible for mesenchymal transition (MT) mainly controlled by two transcription factors STATγ and CEBPα which stimulate 70% of secondary mesenchymal genes. Hypoxia associated with MT triggers the expression of chemokine G protein-coupled receptor (GPCRs). The most studied chemotactic GPCR in GBM is CXCR4 which mediates promigratory effects through Gαi/PIγK/PIPγ and Gα13/Rho/ROCK as well as its endocytosis and recycling mediated by β-arrestins. Our team already demonstrated that the UT receptor of the neuropeptide urotensin II (UII) behaves like a chemokine receptor and stimulates GBM directional migrationby Gαi/PIγK/PIPγ and Gα13/Rho/ROCK allowing cell polarization, lamellipodia formation, actin stress fiber polymerization and cell contraction. Thus it appears that the expression and coupling redundancy of chemotactic GPCRs constitute a major brake for the development oftargeted therapy against these systems. Based on these observations, we proposed to identify new protein partners common to these chemokine GPCRs which could then be targeted by future anti-invasive therapies. First, we validated the systematic redundancy of expression of CXCR4/SDF-1α and UT/UII systems by immunohistochemical studies carried in various patient glioma grades (Collaboration with Pr A. Laquerrière, CHU Rouen Hospital). These systems are more strongly co-expressed in pseudopalisadic peri-necrotic hypoxic GBM areas. A two-hybrid screening of a bank of human brain cDNA allowed us to demonstrate that the 332-352 C-terminal amino acid sequence of UT interacts with the repeat D19-D20 domains of a platform protein called Filamin A (FlnA)
Khan, Reduan H. "Machine-to-machine communications over an IEEE 802.16-based WiMAX network in the smart grid". Thesis, 2014. http://hdl.handle.net/1959.13/1055891.
Texto completoA robust communication infrastructure is the touchstone of a Smart Grid that differentiates it from the conventional electrical grid by transforming it into an intelligent and adaptive energy delivery network. To cope with the rising penetration of renewable energy sources and expected widespread adoption of electric vehicles, the future Smart Grid needs to implement efficient monitoring and control technologies to improve its operational efficiency. However, legacy communication infrastructures in the existing grid are quite insufficient, if not incapable of meeting the diverse communication requirements of the Smart Grid. Being one of the two available 4G technologies in the world, the IEEE 802.16- based WiMAX (Worldwide Interoperability for Microwave Access) networks can significantly extend the reach of a Smart Grid by allowing fast and reliable communications over a wide coverage area. However, the unique characteristics of machine-to-machine (M2M) communications in the Smart Grid pose a number of interesting challenges to the conventional telecommunications networks, including WiMAX. Hence, considerable uncertainties exist about the applicability of WiMAX in a Smart Grid environment. The aim of this thesis is to offer an in-depth study of M2M communications over a WiMAX network in the Smart Grid. To fulfill this aim, it first conducts a detailed, technology agnostic review on the application characteristics and traffic requirements of several major Smart Grid applications and highlights their key communication challenges. Based on this review, it develops a range of traffic models for some key Smart Grid traffic sources, namely, smart meters, synchrophasors, and protective relays. Through a series of simulation studies, it then highlights a number of quality of service (QoS) and capacity issues that these applications may face within a conventional WiMAX network. A key observation from these studies is that the random access plane is the key bottleneck for supporting many of these M2M applications over a conventional WiMAX network. To further analyse the performance of the random access plane, this thesis develops a comprehensive analytical model that incorporates all the key features of the code division multiple access (CDMA) based random access mechanism, such as multi-user multi-code transmission, parallel code detection, and back-off and retransmissions. Through this model, it formulates a number of solutions, such as an enhanced random access scheme to detect a large number of random access codes, a differentiated random access strategy to provide QoS-aware access service to various M2M devices, and an adaptive radio resource management scheme to ensure an efficient utilisation of the random access resources. Moreover, it proposes and investigates a heterogeneous network (HetNet) architecture to reap maximum benefits from aWiMAX network by improving its coverage and allowing flexible data aggregation. Finally, it presents a number of application-specific optimisations to reduce radio resource utilisation and/or improve the performance of a WiMAX-based Smart Grid communications network. Many of the WiMAX specific analyses, results, and solutions in this thesis can be applied to other M2M applications beyond the Smart Grid. In addition, most of the traffic models developed and application-specific optimisations performed are technology agnostic; therefore, they are equally applicable to other wireless technologies, such as the 3GPP (3rd Generation Partnership Project) based LTE (Long Term Evolution).
Capítulos de libros sobre el tema "Traffic relaying"
Marwat, Safdar Nawaz Khan, Yasir Zaki, Jay Chen, Andreas Timm-Giel y Carmelita Göerg. "A Novel Machine-to-Machine Traffic Multiplexing in LTE-A System Using Wireless In-Band Relaying". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 149–58. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-04277-0_12.
Texto completoKumar, Rajeev y Ashraf Hossain. "Cooperative Relaying Communication in IoT Applications for 5G Radio Networks". En Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies, 26–41. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6870-5.ch002.
Texto completoNeelima, S. y G. Siva Sankar. "An Efficient and Reliable Data Dissemination Among Autonomous Cars Through Cluster Based Relaying in VANETS". En Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde221298.
Texto completoActas de conferencias sobre el tema "Traffic relaying"
Abuelela, Mahmoud y Stephan Olariu. "Traffic-adaptive packet relaying in VANET". En the fourth ACM international workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1287748.1287764.
Texto completoClausen, Henry, Aditya Manocha y Michael Gibson. "Detecting Proxies Relaying Streaming Internet Traffic". En IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2022. http://dx.doi.org/10.1109/infocomwkshps54753.2022.9797963.
Texto completoNordio, Alessandro, Vahid Forutan y Carla-Fabiana Chiasserini. "Traffic relaying in multi-hop wireless networks". En 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC 2012). IEEE, 2012. http://dx.doi.org/10.1109/iwcmc.2012.6314378.
Texto completoGrachev, Petr A., Sin S. Di y Amir A. Kiamov. "Method of Blocking Advertising Systems by Traffic Relaying". En 2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus). IEEE, 2022. http://dx.doi.org/10.1109/elconrus54750.2022.9755595.
Texto completoWechtaisong, Chitapong y Hiroaki Morino. "Delay insertion based P2PTV traffic localization considering peer's relaying capability". En 2016 22nd Asia-Pacific Conference on Communications (APCC). IEEE, 2016. http://dx.doi.org/10.1109/apcc.2016.7581499.
Texto completoWang, Chu-Fu y Min-Che Sun. "Stochastic message relaying delay estimation for sparse traffic flow in VANETs". En the 2017 International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3145777.3145785.
Texto completoJi, Xiaodong, Wei-Ping Zhu y Daniel Massicotte. "Opportunistic Relaying for Two-Way Relay Transmission with Asymmetric Traffic Requirements". En 2013 IEEE 78th Vehicular Technology Conference (VTC Fall). IEEE, 2013. http://dx.doi.org/10.1109/vtcfall.2013.6692325.
Texto completoZhang, Xing, Jing Xiao, Yue Gao y Wenbo Wang. "Channel and traffic status aware relay selection and traffic queue analysis in wireless user-relaying networks". En 2012 Wireless Telecommunications Symposium (WTS 2012). IEEE, 2012. http://dx.doi.org/10.1109/wts.2012.6266116.
Texto completoRao, Anlei, Hao Ma, Mohamed-Slim Alouini y Yunfei Chen. "Effect of the primary user traffic on cognitive relaying with adaptive transmission". En 2011 IEEE Globecom Workshops. IEEE, 2011. http://dx.doi.org/10.1109/glocomw.2011.6162605.
Texto completoBudhiraja, Rohit y Bhaskar Ramamurthi. "Two-way MIMO DF relaying for non-simultaneous traffic in cellular systems". En 2014 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2014. http://dx.doi.org/10.1109/spcom.2014.6984005.
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