Nei Kato(IEEE Fellow, IEICE Fellow)
Nei Kato(IEEE Fellow, IEICE Fellow)
Professor, Graduate School of Information Sciences, Tohoku University, Japan
Verified email at - Homepage
Cited by
Cited by
A survey of routing attacks in mobile ad hoc networks
B Kannhavong, H Nakayama, Y Nemoto, N Kato, A Jamalipour
IEEE Wireless communications 14 (5), 85-91, 2007
Toward intelligent machine-to-machine communications in smart grid
ZM Fadlullah, MM Fouda, N Kato, A Takeuchi, N Iwasaki, Y Nozaki
IEEE Communications Magazine 49 (4), 60-65, 2011
Device-to-device communication in LTE-advanced networks: A survey
J Liu, N Kato, J Ma, N Kadowaki
IEEE Communications Surveys & Tutorials 17 (4), 1923-1940, 2014
Detecting blackhole attack on AODV-based mobile ad hoc networks by dynamic learning method.
S Kurosawa, H Nakayama, N Kato, A Jamalipour, Y Nemoto
Int. J. Netw. Secur. 5 (3), 338-346, 2007
State-of-the-art deep learning: Evolving machine intelligence toward tomorrow’s intelligent network traffic control systems
ZM Fadlullah, F Tang, B Mao, N Kato, O Akashi, T Inoue, K Mizutani
IEEE Communications Surveys & Tutorials 19 (4), 2432-2455, 2017
A stable routing protocol to support ITS services in VANET networks
T Taleb, E Sakhaee, A Jamalipour, K Hashimoto, N Kato, Y Nemoto
IEEE Transactions on Vehicular technology 56 (6), 3337-3347, 2007
A lightweight message authentication scheme for smart grid communications
MM Fouda, ZM Fadlullah, N Kato, R Lu, XS Shen
IEEE Transactions on Smart grid 2 (4), 675-685, 2011
Relay-by-smartphone: realizing multihop device-to-device communications
H Nishiyama, M Ito, N Kato
IEEE Communications Magazine 52 (4), 56-65, 2014
A handwritten character recognition system using directional element feature and asymmetric Mahalanobis distance
N Kato, M Suzuki, S Omachi, H Aso, Y Nemoto
IEEE transactions on pattern analysis and machine intelligence 21 (3), 258-262, 1999
The deep learning vision for heterogeneous network traffic control: Proposal, challenges, and future perspective
N Kato, ZM Fadlullah, B Mao, F Tang, O Akashi, T Inoue, K Mizutani
IEEE wireless communications 24 (3), 146-153, 2016
Space-air-ground integrated network: A survey
J Liu, Y Shi, ZM Fadlullah, N Kato
IEEE Communications Surveys & Tutorials 20 (4), 2714-2741, 2018
Hybrid method for minimizing service delay in edge cloud computing through VM migration and transmission power control
TG Rodrigues, K Suto, H Nishiyama, N Kato
IEEE Transactions on Computers 66 (5), 810-819, 2016
A survey on network methodologies for real-time analytics of massive IoT data and open research issues
S Verma, Y Kawamoto, ZM Fadlullah, H Nishiyama, N Kato
IEEE Communications Surveys & Tutorials 19 (3), 1457-1477, 2017
Routing or computing? The paradigm shift towards intelligent computer network packet transmission based on deep learning
B Mao, ZM Fadlullah, F Tang, N Kato, O Akashi, T Inoue, K Mizutani
IEEE Transactions on Computers 66 (11), 1946-1960, 2017
Sage: a strong privacy-preserving scheme against global eavesdropping for ehealth systems
X Lin, R Lu, X Shen, Y Nemoto, N Kato
IEEE journal on selected areas in communications 27 (4), 365-378, 2009
Device-to-device communications achieve efficient load balancing in LTE-advanced networks
J Liu, Y Kawamoto, H Nishiyama, N Kato, N Kadowaki
IEEE Wireless Communications 21 (2), 57-65, 2014
AC-POCA: Anticoordination game based partially overlapping channels assignment in combined UAV and D2D-based networks
F Tang, ZM Fadlullah, N Kato, F Ono, R Miura
IEEE Transactions on Vehicular Technology 67 (2), 1672-1683, 2017
GTES: An optimized game-theoretic demand-side management scheme for smart grid
ZM Fadlullah, DM Quan, N Kato, I Stojmenovic
IEEE Systems journal 8 (2), 588-597, 2013
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
F Tang, Y Kawamoto, N Kato, J Liu
Proceedings of the IEEE 108 (2), 292-307, 2019
Mobile-edge computation offloading for ultradense IoT networks
H Guo, J Liu, J Zhang, W Sun, N Kato
IEEE Internet of Things Journal 5 (6), 4977-4988, 2018
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