Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Adita Kulkarni"'
Publikováno v:
IEEE Transactions on Vehicular Technology. 69:443-456
Accurately modeling and predicting wireless channelquality variations is essential for a number of networking applications such as scheduling and improved video streaming over 4G LTE networks and bit rate adaptation for improved performance in WiFi n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7fdeef5605613ccdec7bf1b88affeb3
https://doi.org/10.1109/tvt.2019.2949954
https://doi.org/10.1109/tvt.2019.2949954
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030980047
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52728fb88aec7880d2a1545c1abf4d98
https://doi.org/10.1007/978-3-030-98005-4_12
https://doi.org/10.1007/978-3-030-98005-4_12
Autor:
Anand Seetharam, Adita Kulkarni
Publikováno v:
INFOCOM Workshops
Managing Quality of Experience (QoE) for users streaming videos over cellular networks (e.g., 4G LTE net-works) is an important problem. In this paper, we consider the problem of streaming multiple variable bit rate (VBR) video streams to users over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25d3e515758f34a5a11d75cc53b31446
https://doi.org/10.1109/infocomwkshps51825.2021.9484467
https://doi.org/10.1109/infocomwkshps51825.2021.9484467
Autor:
Adita Kulkarni, Anand Seetharam
Publikováno v:
CCNC
In the past few years, video streaming over cellular networks has become increasingly popular due to which managing end-user Quality of Experience (QoE) has become a crucial problem. We consider the problem of variable bit rate (VBR) video streaming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c154b68edc7d99a87561a9f859f37e9
https://doi.org/10.1109/ccnc49032.2021.9369556
https://doi.org/10.1109/ccnc49032.2021.9369556
Publikováno v:
CCNC
Accurate wireless channel quality prediction over 4G LTE networks continues to be an important problem as future channel predictions are widely leveraged to meet the strict requirements of applications such as 360-degree video, ARlVR, and online game
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4ca47de12a9e94deb0e8b7053281bfa
https://doi.org/10.1109/ccnc49032.2021.9369651
https://doi.org/10.1109/ccnc49032.2021.9369651
Autor:
Anand Seetharam, Adita Kulkarni
Publikováno v:
Ad Hoc Networks ISBN: 9783030673680
In this paper, we compare and contrast model-based and machine learning approaches for designing caching and routing strategies to improve cache network performance (e.g., delay, hit rate). We first outline the key principles used in the design of mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37fbae381cdd4681bab26a14aca9be8d
https://doi.org/10.1007/978-3-030-67369-7_2
https://doi.org/10.1007/978-3-030-67369-7_2
Publikováno v:
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Accurately predicting resolution time for emergency incidents is crucial for public safety and smooth functioning of cities as it helps in planning resources that will be available for immediate assistance. In this paper, we present DeepER, a deep le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f47deeb0189a5376712a362e29186ddf
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00090
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00090
Publikováno v:
Computer Networks. 140:78-91
Most content placement strategies in information-centric networks (ICN) primarily focus on pushing popular content to the network edge, fail to effectively utilize the caches in the network core and provide limited performance improvement. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::415314851490807dcc73c1df4a91c236
https://doi.org/10.1016/j.comnet.2018.05.001
https://doi.org/10.1016/j.comnet.2018.05.001
Publikováno v:
BuildSys@SenSys
Accurately predicting water consumption in residential and commercial buildings is essential for identifying possible leaks, minimizing water wastage, and for paving the way for a sustainable future. In this paper, we present SWaP, a Smart Water Pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1b289a6cf27ce04c0bbeb909ada622c
https://doi.org/10.1145/3360322.3360846
https://doi.org/10.1145/3360322.3360846
Publikováno v:
MobiQuitous
In today's busy modern life, modeling and accurately predicting fitness center equipment usage and availability is essential for improving human fitness and well-being as it provides people the flexibility to plan their schedule and exercise at their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41c45c2e3756b9eb03e80ebf0879da76
https://doi.org/10.1145/3360774.3360803
https://doi.org/10.1145/3360774.3360803