- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1687-1499
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Energy efficient edge-of-things ; volume:2019 ; number:1 ; day:29 ; month:3 ; year:2019 ; pages:1-11 ; date:12.2019
EURASIP journal on wireless communications and networking / European Association for Speech, Signal and Image Processing ; 2019, Heft 1 (29.3.2019), 1-11, 12.2019
- Urheber
-
Toor, Asfa
Islam, Saif ul
Ahmed, Ghufran
Jabbar, Sohail
Khalid, Shehzad
Sharif, Abdullahi Mohamud
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13638-019-1394-4
- URN
-
urn:nbn:de:101:1-2019042100252212751320
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:50 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Toor, Asfa
- Islam, Saif ul
- Ahmed, Ghufran
- Jabbar, Sohail
- Khalid, Shehzad
- Sharif, Abdullahi Mohamud
- SpringerLink (Online service)
Ähnliche Objekte (12)
Energy-efficient offloading and resource allocation for mobile edge computing enabled mission-critical internet-of-things systems
Energy-effective artificial internet-of-things application deployment in edge-cloud systems
Energy efficient spike transformer accelerator at the edge
Computation offloading for fast and energy-efficient edge computing
Energy-saving service management technology of internet of things using edge computing and deep learning
Energy-efficient allocation for multiple tasks in mobile edge computing
Efficient task offloading using particle swarm optimization algorithm in edge computing for industrial internet of things
Paving the Way for an Energy Efficient and Sustainable Future Internet of Things
Energy-efficient proactive edge caching with sleep scheduling for green networks
Genetic electro-search optimization for optimum energy consumption in edge computing-based internet of healthcare things
Getting things moving with little energy. Efficient drive technology for industrial machines.
Energy-efficient offloading decision-making for mobile edge computing in vehicular networks
Energy-efficient offloading and resource allocation for mobile edge computing enabled mission-critical internet-of-things systems
Energy-effective artificial internet-of-things application deployment in edge-cloud systems
Energy efficient spike transformer accelerator at the edge
Computation offloading for fast and energy-efficient edge computing
Energy-saving service management technology of internet of things using edge computing and deep learning
Energy-efficient allocation for multiple tasks in mobile edge computing
Efficient task offloading using particle swarm optimization algorithm in edge computing for industrial internet of things
Paving the Way for an Energy Efficient and Sustainable Future Internet of Things
Energy-efficient proactive edge caching with sleep scheduling for green networks
Genetic electro-search optimization for optimum energy consumption in edge computing-based internet of healthcare things
Getting things moving with little energy. Efficient drive technology for industrial machines.
Energy-efficient offloading decision-making for mobile edge computing in vehicular networks
Energy-efficient offloading and resource allocation for mobile edge computing enabled mission-critical internet-of-things systems
Energy-effective artificial internet-of-things application deployment in edge-cloud systems
Energy efficient spike transformer accelerator at the edge
Computation offloading for fast and energy-efficient edge computing
Energy-saving service management technology of internet of things using edge computing and deep learning
Energy-efficient allocation for multiple tasks in mobile edge computing
Efficient task offloading using particle swarm optimization algorithm in edge computing for industrial internet of things
Paving the Way for an Energy Efficient and Sustainable Future Internet of Things
Energy-efficient proactive edge caching with sleep scheduling for green networks
Genetic electro-search optimization for optimum energy consumption in edge computing-based internet of healthcare things
Getting things moving with little energy. Efficient drive technology for industrial machines.