Littérature scientifique sur le sujet « Wireless Communications, Energy Efficiency, Green Networks »
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Articles de revues sur le sujet "Wireless Communications, Energy Efficiency, Green Networks"
Fettweis, Gerhard P., Kwang-Cheng Chen et Rahim Tafazoli. « Green radio : Energy efficiency in wireless networks ». Journal of Communications and Networks 12, no 2 (avril 2010) : 99–102. http://dx.doi.org/10.1109/jcn.2010.6391365.
Texte intégralReddy, G. Chenna Kesava, Dr A. A. Ansari et Dr S. China Venkateswarlu. « Green Communication in Wireless Power Consumption and Energy Efficient Trade-offs ». Revista Gestão Inovação e Tecnologias 11, no 4 (4 août 2021) : 4082–95. http://dx.doi.org/10.47059/revistageintec.v11i4.2433.
Texte intégralLorincz, Josip, Antonio Capone et Jinsong Wu. « Greener, Energy-Efficient and Sustainable Networks : State-Of-The-Art and New Trends ». Sensors 19, no 22 (8 novembre 2019) : 4864. http://dx.doi.org/10.3390/s19224864.
Texte intégralYadav, Ramnaresh, Keshav Singh et Ashwani Kumar. « Optimal Power Allocation for Achieving Secure Green Cognitive Radio Networks ». Electronics 11, no 13 (22 juin 2022) : 1952. http://dx.doi.org/10.3390/electronics11131952.
Texte intégralOborkhale, L. I., C. C. Nwaogu et O. A. Amadi. « Achieving energy efficiency for 5G at base stations level ». Scientia Africana 20, no 3 (26 janvier 2022) : 1–10. http://dx.doi.org/10.4314/sa.v20i3.1.
Texte intégralNguyen, Hieu V., Hyeon Min Kim, Gil-Mo Kang, Kha-Hung Nguyen, Van-Phuc Bui et Oh-Soon Shin. « A Survey on Non-Orthogonal Multiple Access : From the Perspective of Spectral Efficiency and Energy Efficiency ». Energies 13, no 16 (8 août 2020) : 4106. http://dx.doi.org/10.3390/en13164106.
Texte intégralHuang, Tangsen, Xiangdong Yin et Xiaowu Li. « Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks ». International Journal of Distributed Sensor Networks 18, no 9 (septembre 2022) : 155013292211251. http://dx.doi.org/10.1177/15501329221125119.
Texte intégralGao, Jing, Xin Guan, Shuyue Zhang et Xiao Meng. « Resource Allocation Optimization Based on Energy Efficiency in Green Cloud Radio Access Network ». Wireless Communications and Mobile Computing 2022 (11 mai 2022) : 1–18. http://dx.doi.org/10.1155/2022/8932961.
Texte intégralRam, Mahendra, Sushil Kumar, Vinod Kumar, Ajay Sikandar et Rupak Kharel. « Enabling Green Wireless Sensor Networks : Energy Efficient T-MAC Using Markov Chain Based Optimization ». Electronics 8, no 5 (13 mai 2019) : 534. http://dx.doi.org/10.3390/electronics8050534.
Texte intégralAnwar, Muhammad, Abdul Abdullah, Ayman Altameem, Kashif Qureshi, Farhan Masud, Muhammad Faheem, Yue Cao et Rupak Kharel. « Green Communication for Wireless Body Area Networks : Energy Aware Link Efficient Routing Approach ». Sensors 18, no 10 (26 septembre 2018) : 3237. http://dx.doi.org/10.3390/s18103237.
Texte intégralThèses sur le sujet "Wireless Communications, Energy Efficiency, Green Networks"
Sun, Peng. « Performance Improvement for Wireless Mesh Networks with Renewable Energy Source ». Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34967.
Texte intégralKailas, Aravind. « Toward perpetual wireless networks : opportunistic large arrays with transmission thresholds and energy harvesting ». Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34720.
Texte intégralMowla, Md Munjure. « Next generation wireless communication networks : Energy and quality of service considerations ». Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2018. https://ro.ecu.edu.au/theses/2158.
Texte intégralAhmed, Maha Shihab. « Improving energy efficiency and quality of service in an integrated wireless-optical broadband access network ». Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1737.
Texte intégralXiong, Cong. « Energy-efficient design in wireless communications networks ». Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52217.
Texte intégralBarceló, Lladó Joan Enric. « Communications in Wireless Sensor Networks : Compression, Energy Efficiency and Secrecy ». Doctoral thesis, Universitat Autònoma de Barcelona, 2012. http://hdl.handle.net/10803/97359.
Texte intégralWireless Sensor Networks (WSNs) have emerged as one of the most promising wireless communication systems in the last decade. They can be used in a wide variety of applications such as environmental monitoring, natural disaster prediction, healthcare, transportation, indoor positioning, and military tasks. The cost and the complexity of the nodes within a WSN are typically low, which results in constraints such as energy limitation, low computational speed, and reduced communication bandwidth. With the advances in wireless communications and the growing demand of new and more complex applications, WSNs must be optimized in order to overcome their intrinsic limitations in terms of complexity and power. In this dissertation, and according to these constraints, we propose a set of techniques that provide to a WSN the following interesting features: 1. Distributed operation without the need of signaling among sensing nodes. 2. Energy-efficient communications. 3. Low complexity at the sensing nodes. 4. Low resource (i.e., bandwidth, time, etc.) utilization. 5. Low distortion level at the receiver. 6. Secret communications at the physical layer. First, we study the zero-delay downsampling transmission. This technique allows the system to reduce the number of transmissions and hence decrease the total energy spent. In particular, we study the performance of deterministic, probabilistic and conditional downsampling encoding-decoding pairs for the case of the autoregressive signal model. We obtain closed form expressions for the quadratic error of the deterministic and probabilistic encoder-decoders, while accurate approximations are derived for the quadratic error of the conditional downsampling schemes. Second, we analyze data compression applied to large WSNs. For the realistic case where the correlation parameters are not known a priori, we obtain two enhanced correlation estimators: i) one for the linear Wiener filter vector and ii) one for the achieved mean square error. Both estimators are employed in the two key steps of the distributed source coding algorithm. These estimators notably improve the performance of the algorithm in comparison to the application of classical sample estimators, specially when the dimension of the observation vector is comparable in magnitude to the number of samples used in the training phase. Then, we propose a distributed and energy-efficient communication scheme named Amplify-and-Forward Compressed Sensing. This scheme is based on compressed sensing and exploits the correlation present in the signal in order to reduce both the resource utilization and the energy consumption. More specifically, the system is designed according to a cost function that controls the trade-off between the quadratic error in the reconstruction and the energy consumption of the network. In order to aid the system design, a simple model that accurately approximates the performance of the proposed scheme in terms of the quadratic error has been derived. Furthermore, we contribute to the compressed sensing theory with a tighter relationship between the minimum number of measurements that are required for a given network dimension and the sparsity level of the transmitted signal. Finally, the proposed Amplify-and-Forward Compressed Sensing scheme is also studied in terms of secrecy and wiretap distortion at the physical layer. It is shown that the proposed scheme is perfectly secret in the presence of one or even a small group of eavesdroppers whereas for a larger eavesdropping set, it is still possible to notably deteriorate its espionage capabilities thanks to a proposed technique specifically designed to introduce extra uncertainty only in the channel estimation of the eavesdroppers.
Tombaz, Sibel. « Towards Green Wireless Access Networks : Main Tradeoffs, Deployment Strategies and Measurement Methodologies ». Licentiate thesis, KTH, Kommunikationssystem, CoS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104328.
Texte intégralQC 20121109
Energy-efficient wireless networking (eWIN)
Miao, Guowang. « Cross-layer optimization for spectral and energy efficiency ». Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31807.
Texte intégralCommittee Chair: Li, Geoffrey Ye; Committee Member: Ma, Xiaoli; Committee Member: Stuber, Gordon; Committee Member: Wardi, Yorai; Committee Member: Yu, Xingxing. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Zhang, Hong. « Energy-efficient strategies with base station power management for green wireless networks ». IEEE Publishing, 2013. http://hdl.handle.net/1993/31307.
Texte intégralOctober 2016
Tiruchirappalli, Narayana Kumar Venkataramani. « A Game Theoretical Approach to Green Communications in Seamless Internet of Things ». University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1576032496171712.
Texte intégralLivres sur le sujet "Wireless Communications, Energy Efficiency, Green Networks"
Energy optimization and scavenging techniques for mobile devices and networks. Boca Raton, FL : CRC Press, 2012.
Trouver le texte intégralSuraweera, Himal A., Jing Yang, Alessio Zappone et John Thompson, dir. Green Communications for Energy-Efficient Wireless Systems and Networks. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbte091e.
Texte intégralThompson, John S., Jing Yang, Himal A. Suraweera et Alessio Zappone. Green Communications for Energy-Efficient Wireless Systems and Networks. Institution of Engineering & Technology, 2020.
Trouver le texte intégralZhang, Xi, F. Richard Yu et Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2016.
Trouver le texte intégralZhang, Xi, F. Richard Yu et Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2016.
Trouver le texte intégralZhang, Xi, F. Richard Yu et Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2016.
Trouver le texte intégralZhang, Xi, F. Richard Yu et Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2016.
Trouver le texte intégralZhang, Xi, F. Richard Yu et Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2019.
Trouver le texte intégralYu, F. Richard, Victor C. M. Leung et X. I. Zhang. Green Communications and Networking. Taylor & Francis Group, 2012.
Trouver le texte intégralGreen Communications and Networking. CRC Press, 2012.
Trouver le texte intégralChapitres de livres sur le sujet "Wireless Communications, Energy Efficiency, Green Networks"
Ge, Xiaohu, et Wuxiong Zhang. « Energy Efficiency of 5G Wireless Communications ». Dans 5G Green Mobile Communication Networks, 29–101. Singapore : Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6252-1_2.
Texte intégralDi Renzo, Marco. « Energy-Efficiency Metrics and Performance Trade-Offs of GREEN Wireless Networks ». Dans Green Communications, 43–54. Chichester, UK : John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118759257.ch3.
Texte intégralGe, Xiaohu, et Wuxiong Zhang. « Energy Efficiency and Collaborative Optimization Theory of 5G Heterogeneous Wireless Multi Networks ». Dans 5G Green Mobile Communication Networks, 287–325. Singapore : Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6252-1_6.
Texte intégralBernardo, Vitor, Torsten Braun, Marilia Curado, Markus Fiedler, David Hock, Theus Hossmann, Karin Anna Hummel et al. « Green Wireless-Energy Efficiency in Wireless Networks ». Dans Large-Scale Distributed Systems and Energy Efficiency, 81–130. Hoboken, NJ, USA : John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118981122.ch4.
Texte intégralO'Farrell, Timothy, et Simon Fletcher. « Green Communication Concepts, Energy Metrics and Throughput Efficiency for Wireless Systems ». Dans Green Communications, 19–42. Chichester, UK : John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118759257.ch2.
Texte intégralGe, Xiaohu, et Wuxiong Zhang. « Energy Efficiency of 5G Multimedia Communications ». Dans 5G Green Mobile Communication Networks, 185–233. Singapore : Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6252-1_4.
Texte intégralSingh, Arshpreet, et Yaman Parashar. « Green Energy Efficient Wired and Wireless Charging Techniques for IoT Enabled Healthcare Systems ». Dans Green Communication Technologies for Future Networks, 253–75. Boca Raton : CRC Press, 2022. http://dx.doi.org/10.1201/9781003264477-14.
Texte intégralMehta, Neetu, et Arvind Kumar. « Enhanced Energy Efficiency in Wireless Sensor Networks ». Dans Lecture Notes on Data Engineering and Communications Technologies, 255–69. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9113-3_20.
Texte intégralBuzzi, Stefano, H. Vincent Poor et Daniela Saturnino. « A Stochastic Non-Cooperative Game for Energy Efficiency in Wireless Data Networks ». Dans Wireless Communications 2007 CNIT Thyrrenian Symposium, 135–50. Boston, MA : Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-73825-3_11.
Texte intégralSangare, Fahira, et Zhu Han. « RF Energy Harvesting Networks : Existing Techniques and Hardware Technology ». Dans Wireless Information and Power Transfer : A New Paradigm for Green Communications, 189–239. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56669-6_7.
Texte intégralActes de conférences sur le sujet "Wireless Communications, Energy Efficiency, Green Networks"
Bathula, Balagangadhar G., et Jaafar M. H. Elmirghani. « Green networks : Energy efficient design for optical networks ». Dans 2009 IFIP International Conference on Wireless and Optical Communications Networks (WOCN). IEEE, 2009. http://dx.doi.org/10.1109/wocn.2009.5010573.
Texte intégralSharon, C. Carin, N. Nirmal Singh et S. Thilagavathi. « Comprehensive information based BSs operation for energy efficiency in green cellular networks ». Dans 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2017. http://dx.doi.org/10.1109/wispnet.2017.8299963.
Texte intégralJahid, Abu, Abdullah Bin Shams et Md Farhad Hossain. « Energy efficiency of JT CoMP based green powered LTE-A cellular networks ». Dans 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2017. http://dx.doi.org/10.1109/wispnet.2017.8300060.
Texte intégralChen, Xi, Hailun Xia, Zhimin Zeng, Shie Wu, WenQi Zuo et Yao Lu. « Energy-efficient heterogeneous networks for green communications by inter-layer interference coordination ». Dans 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2014. http://dx.doi.org/10.1109/wpmc.2014.7014793.
Texte intégralJingqing Mei, Hong Ji et Yi Li. « Energy efficient Layered Broadcast/Multicast mechanism in Green 4G wireless networks ». Dans IEEE INFOCOM 2011 - IEEE Conference on Computer Communications Workshops. IEEE, 2011. http://dx.doi.org/10.1109/infcomw.2011.5928826.
Texte intégralFernandas, Y. Edwin, et M. S. Vasanthi. « Energy efficient mechanism for Green computing in wireless storage area networks ». Dans 2015 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2015. http://dx.doi.org/10.1109/iccsp.2015.7322721.
Texte intégralRafique, Zimran, et Boon-Chong Seet. « Energy efficient wavelet based OFDM for V-BLAST MIMO Wireless Sensor Networks ». Dans 2011 IEEE Online Conference on Green Communications (GreenCom). IEEE, 2011. http://dx.doi.org/10.1109/greencom.2011.6082500.
Texte intégralRaavi, Shalini, Marilet De Andrade, Riccardo Fiandra et Massimo Tornatore. « Energy-efficient design and equipment placement for Wireless-Optical Broadband Access Networks ». Dans 2012 IEEE Online Conference on Green Communications (GreenCom). IEEE, 2012. http://dx.doi.org/10.1109/greencom.2012.6519607.
Texte intégralBarbato, Antimo, Marica Barrano, Antonio Capone et Nicolo Figiani. « Resource oriented and energy efficient routing protocol for IPv6 wireless sensor networks ». Dans 2013 IEEE Online Conference on Green Communications (OnlineGreencomm). IEEE, 2013. http://dx.doi.org/10.1109/onlinegreencom.2013.6731046.
Texte intégralDaghistani, Anas, et Basem Shihada. « Green-Frag : Energy-efficient frame fragmentation scheme for wireless sensor networks ». Dans 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2013. http://dx.doi.org/10.1109/wimob.2013.6673399.
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