Green, Energy-Efficient and Sustainable Networks |
Autore | Lorincz Josip |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (382 p.) |
Soggetto non controllato |
node speed
linear recovery resource block allocation social awareness internet-of-things scheduling algorithm renewables neural network battery capacity energy awareness measurement structure optimization energy efficiency charging efficiency random structural matrices SDN water filling algorithm ONOS energy harvesting malware detection node density HetNets sustainability cooperative smart community adversarial samples spatial modulation NOMA 5G light-weight authentication green networking Device-to-Device (D2D) lightweight cipher mobile edge computing wireless power transfer adaptive link rate successive interference cancellation (SIC) directional charging vehicle self-interference cancellation proportional rate constraint inter-meeting time sustainable RWSN channel state information stochastic geometry networks green internet of things (IoT) PHY-layer IoT Markov chain traffic engineering QoS energy-efficient Ethernet power lightweight authentication energy aware routing authentication wired access amplify-and-forward software defined networking (SDN) image compressive sensing (CS) green edge computing LTE-A opportunistic networks RF Fingerprinting data centre multiple-input multiple-output Internet of Things machine learning peer discovery full-duplex industrial carbon footprint WSN imperfect CSI data center symbol error probability physical-layer authentication interference coordination clustering control and data plane wireless ICT bisection based optimal power allocation energy-efficiency consumer preferences real-time traffic |
ISBN | 3-03928-039-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910372783803321 |
Lorincz Josip | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Internet of Things and Sensors Networks in 5G Wireless Communications |
Autore | Zhao Guodong |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (222 p.) |
Soggetto non controllato |
fog computing
heterogeneous networks distributed mechanism energy efficiency scheduling CSMA throughput grant-free D2D communication MAC Industrial Internet of Things estimation 5G survey liquid detection power control sensor SINR radio propagation MU association Raspberry Pi reliability latency deterministic Industry 4.0 stochastic geometry dielectric constant Cyber Physical System IoT successive interference cancellation URLLC end-to-end delay resource allocation polynomial interpolation industrial automation cloud computing mMTC smart factory deployment ultra-reliable and low-latency communications PHY aperiodic traffic NB-IoT irregular repetition slotted ALOHA edge computing time-critical eMBB medium access control M2M Internet of Things internet of things sensor network random access smart devices non-orthogonal multiple access USRP WCI narrowband congestion |
ISBN | 3-03928-149-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910372782203321 |
Zhao Guodong | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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