Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vasilisa Bashlovkina"'
Autor:
Mohamed Abdelaal, Oliver Theel, Christian Kuka, Peilin Zhang, Yang Gao, Vasilisa Bashlovkina, Daniela Nicklas, Martin Fränzle
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 12 (2016)
Energy saving is often achieved via “squeezing” other application-sensitive Quality of Service (QoS) parameters such as delay and throughput. Accordingly, energy-saving methods must consider those QoS parameters. In this paper, we survey the most
Externí odkaz:
https://doaj.org/article/a8ff1e60a5f8413bb0e65391eec8603c
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67a7b9deda4642b5ff23ce25daf0eaad
https://doi.org/10.1145/3543873.3587605
https://doi.org/10.1145/3543873.3587605
Autor:
Peilin Zhang, Mohamed Abdelaal, Daniela Nicklas, Oliver Theel, Yang Gao, Vasilisa Bashlovkina, Christian Kuka, Martin Fränzle
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 12 (2016)
Energy saving is often achieved via “squeezing” other application-sensitive Quality of Service (QoS) parameters such as delay and throughput. Accordingly, energy-saving methods must consider those QoS parameters. In this paper, we survey the most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::956d832dc23fd5ec751a8c601457c9b8
Publikováno v:
ICC Workshops
This paper aims at developing a novel high precision compression method. Based on the previously developed Fuzzy Transform Compression (FTC), we design and implement a modified version of the algorithm, referred to as Fuzzy Compression Adaptive Trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17a7fcdb53dc52985b642ba8ce76b104
https://doi.org/10.1109/iccw.2015.7247596
https://doi.org/10.1109/iccw.2015.7247596
Publikováno v:
IPSN
This paper aims at developing a novel compression technique which breaks the "downward spiral" between compression ratio and recovery precision. Based on the previously developed Fuzzy Transform Compression (FTC), we design and implement a modified v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b27936a203a7bf093613a8bbe77033e0
https://doi.org/10.1145/2737095.2742921
https://doi.org/10.1145/2737095.2742921