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Matti Siekkinen
Matti Siekkinen
Lecturer, Aalto University
Zweryfikowany adres z aalto.fi
Tytuł
Cytowane przez
Cytowane przez
Rok
How low energy is bluetooth low energy? comparative measurements with zigbee/802.15. 4
M Siekkinen, M Hiienkari, JK Nurminen, J Nieminen
2012 IEEE wireless communications and networking conference workshops (WCNCW …, 2012
5842012
Energy efficient multimedia streaming to mobile devices—A survey
MA Hoque, M Siekkinen, JK Nurminen
IEEE Communications Surveys & Tutorials 16 (1), 579-597, 2012
1992012
Modeling, profiling, and debugging the energy consumption of mobile devices
MA Hoque, M Siekkinen, KN Khan, Y Xiao, S Tarkoma
ACM Computing Surveys (CSUR) 48 (3), 1-40, 2015
1702015
Smartphone energy consumption: modeling and optimization
S Tarkoma
Cambridge University Press, 2014
1212014
Toward massive scale air quality monitoring
NH Motlagh, E Lagerspetz, P Nurmi, X Li, S Varjonen, J Mineraud, ...
IEEE Communications Magazine 58 (2), 54-59, 2020
1182020
Cellular-based vehicle to pedestrian (V2P) adaptive communication for collision avoidance
M Bagheri, M Siekkinen, JK Nurminen
2014 international conference on connected vehicles and expo (ICCVE), 450-456, 2014
1172014
Edge computing assisted adaptive mobile video streaming
A Mehrabi, M Siekkinen, A Ylä-Jääski
IEEE Transactions on Mobile Computing 18 (4), 787-800, 2018
1162018
Practical power modeling of data transmission over 802.11 g for wireless applications
Y Xiao, P Savolainen, A Karppanen, M Siekkinen, A Ylä-Jääski
Proceedings of the 1st International Conference on Energy-efficient …, 2010
1142010
Latency and throughput characterization of convolutional neural networks for mobile computer vision
J Hanhirova, T Kämäräinen, S Seppälä, M Siekkinen, V Hirvisalo, ...
Proceedings of the 9th ACM Multimedia Systems Conference, 204-215, 2018
1052018
Modeling energy consumption of data transmission over Wi-Fi
Y Xiao, Y Cui, P Savolainen, M Siekkinen, A Wang, L Yang, A Ylä-Jääski, ...
IEEE Transactions on Mobile Computing 13 (8), 1760-1773, 2013
912013
Using crowd-sourced viewing statistics to save energy in wireless video streaming
MA Hoque, M Siekkinen, JK Nurminen
Proceedings of the 19th annual international conference on Mobile computing …, 2013
852013
A system-level model for runtime power estimation on mobile devices
Y Xiao, R Bhaumik, Z Yang, M Siekkinen, P Savolainen, A Ylä-Jääski
2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l …, 2010
782010
Cloud gaming with foveated video encoding
GK Illahi, TV Gemert, M Siekkinen, E Masala, A Oulasvirta, A Ylä-Jääski
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020
772020
Performance limitations of ADSL users: A case study
M Siekkinen, D Collange, G Urvoy-Keller, E Biersack
Passive and Active Network Measurement, 145-154, 2007
752007
Streaming over 3G and LTE: How to save smartphone energy in radio access network-friendly way
M Siekkinen, MA Hoque, JK Nurminen, M Aalto
Proceedings of the 5th Workshop on Mobile Video, 13-18, 2013
672013
Mobile multimedia streaming techniques: QoE and energy saving perspective
MA Hoque, M Siekkinen, JK Nurminen, M Aalto, S Tarkoma
Pervasive and Mobile Computing 16, 96-114, 2015
65*2015
Cloud-based pedestrian road-safety with situation-adaptive energy-efficient communication
M Bagheri, M Siekkinen, JK Nurminen
IEEE Intelligent transportation systems magazine 8 (3), 45-62, 2016
622016
CloudVR: Cloud accelerated interactive mobile virtual reality
T Kämäräinen, M Siekkinen, J Eerikäinen, A Ylä-Jääski
Proceedings of the 26th ACM international conference on Multimedia, 1181-1189, 2018
592018
QoE-traffic optimization through collaborative edge caching in adaptive mobile video streaming
A Mehrabi, M Siekkinen, A Ylä-Jaaski
IEEE Access 6, 52261-52276, 2018
582018
Dissecting Mobile Video Services: An Energy Consumption Perspective
MA Hoque, M Siekkinen, JK Nurminen, M Aalto
IEEE WoWMoM, 2013
58*2013
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