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Mario Di Francesco
Mario Di Francesco
Department of Computer Science, Aalto University
Bestätigte E-Mail-Adresse bei aalto.fi - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Energy conservation in wireless sensor networks: A survey
G Anastasi, M Conti, M Di Francesco, A Passarella
Ad hoc networks 7 (3), 537-568, 2009
35382009
Data collection in wireless sensor networks with mobile elements: A survey
M Di Francesco, SK Das, G Anastasi
ACM Transactions on Sensor Networks (TOSN) 8 (1), 1-31, 2011
7392011
Edge computing for the Internet of Things: A case study
G Premsankar, M Di Francesco, T Taleb
IEEE Internet of Things Journal 5 (2), 1275-1284, 2018
6782018
Adaptive configuration of LoRa networks for dense IoT deployments
M Slabicki, G Premsankar, M Di Francesco
NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2018
3282018
Energy management in wireless sensor networks with energy-hungry sensors
C Alippi, G Anastasi, M Di Francesco, M Roveri
IEEE Instrumentation & Measurement Magazine 12 (2), 16-23, 2009
3112009
A comprehensive analysis of the MAC unreliability problem in IEEE 802.15.4 wireless sensor networks
G Anastasi, M Conti, M Di Francesco
IEEE Transactions on Industrial Informatics 7 (1), 52-65, 2011
2702011
An adaptive sampling algorithm for effective energy management in wireless sensor networks with energy-hungry sensors
C Alippi, G Anastasi, M Di Francesco, M Roveri
Instrumentation and Measurement, IEEE Transactions on 59 (2), 335-344, 2010
2382010
Extending the lifetime of wireless sensor networks through adaptive sleep
G Anastasi, M Conti, M Di Francesco
IEEE Transactions on Industrial Informatics 5 (3), 351-365, 2009
2352009
Reliability and energy-efficiency in IEEE 802.15.4/ZigBee sensor networks: an adaptive and cross-layer approach
M Di Francesco, G Anastasi, M Conti, SK Das, V Neri
Selected Areas in Communications, IEEE Journal on 29 (8), 1508-1524, 2011
2212011
Distributed inference acceleration with adaptive DNN partitioning and offloading
T Mohammed, C Joe-Wong, R Babbar, M Di Francesco
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 854-863, 2020
1652020
Virtual machine consolidation with multiple usage prediction for energy-efficient cloud data centers
TH Nguyen, M Di Francesco, A Yla-Jaaski
IEEE Transactions on Services Computing 13 (1), 186-199, 2020
163*2020
An evaluation of open source serverless computing frameworks
SK Mohanty, G Premsankar, M Di Francesco
IEEE International Conference on Cloud Computing Technology and Science, 115-120, 2018
1562018
Data collection in sensor networks with data mules: An integrated simulation analysis
G Anastasi, M Conti, M Di Francesco
Computers and Communications, 2008. ISCC 2008. IEEE Symposium on, 1096-1102, 2008
1132008
How to prolong the lifetime of wireless sensor networks
G Anastasi, M Conti, M Di Francesco, A Passarella, M Denko, L Yang
Mobile Ad Hoc and Pervasive Communications, 1-26, 2006
1112006
Video caching, analytics, and delivery at the wireless edge: A survey and future directions
B Jedari, G Premsankar, G Illahi, M Di Francesco, A Mehrabi, A Ylä-Jääski
IEEE Communications Surveys & Tutorials 23 (1), 431-471, 2020
1022020
Optimal configuration of LoRa networks in smart cities
G Premsankar, B Ghaddar, M Slabicki, M Di Francesco
IEEE Transactions on Industrial Informatics 16 (12), 7243-7254, 2020
912020
Energy-efficient randomized switching for maximizing lifetime in tree-based wireless sensor networks
SKA Imon, A Khan, M Di Francesco, SK Das
IEEE/ACM transactions on networking 23 (5), 1401-1415, 2014
902014
Cloud databases for Internet-of-Things data
PTA Mai, JK Nurminen, M Di Francesco
2014 IEEE International Conference on Internet of Things (iThings), and IEEE …, 2014
792014
Efficient placement of edge computing devices for vehicular applications in smart cities
G Premsankar, B Ghaddar, M Di Francesco, R Verago
NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2018
752018
Reliable and energy-efficient data collection in sparse sensor networks with mobile elements
G Anastasi, M Conti, M Di Francesco
Performance Evaluation 66 (12), 791-810, 2009
702009
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