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Green, Energy-Efficient and Sustainable Networks
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
Opac: Controlla la disponibilità qui
Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods
Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods
Autore Kwan Mei-Po
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (382 p.)
Soggetto non controllato the elderly
regression analysis
walking event
green space
missing data
crop residue burning
correlation analysis
imputation
physical environment
crowdedness
Guangzhou
mobile phone data
GPS trace
noise pollution
mental disorders
Beijing
urban leisure
environmental exposure
environmental context cube
subway stations
air pollution exposure
long-distance walking
car ownership
multilevel model
CHAS
ecological momentary assessment
cycling for transportation
cognitive aging
3SFCA
interannual and seasonal variations
well-being experience
personal projects
spatial spread
E2SFCA
activity space
catchment areas
structural equation modeling
transport modes
greenspace exposure
health
train stations
human mobility
quantile regression
the neighborhood effect averaging problem (NEAP)
emissions estimation
taxi GPS trajectories
real-time traffic
primary healthcare
rail travel
spatial accessibility
commuting route
GPS
urban planning
environmental health
Brazil
EMA
geographical accessibility
big data
dynamic assessment
obesity
healthcare accessibility
population demand
the uncertain geographic context problem (UGCoP)
geographic impedance
collective leisure activity
multimodal network
GIS
2009 influenza A(H1N1) pandemic
UGCoP
environmental exposures
spatial data
the uncertain geographic context problem
Singapore
built environment
adults
time-weighted exposure
geographic imputation
Public Participatory GIS (PPGIS)
access probability
life-course perspectives
China
walking
active travel
foodscape exposure
car use
food environment
fuel consumption
ageing
Healthcare services
road traffic accidents
space-time kernel density estimation
multilevel Bayesian model
environmental context exposure index
spatial autocorrelation
PM concentrations
physical activity
bike paths
ISBN 3-03921-184-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Human Mobility, Spatiotemporal Context, and Environmental Health
Record Nr. UNINA-9910346665403321
Kwan Mei-Po  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui