Mobile Ad-hoc network (MANET) is infra-structure less collection of mobile nodes which can communicate with each other through single hop or multi-hop technique. The hop count also …
Performance results prove that a neural networks approach achieves better results, simpler and faster, than algorithmic approaches. The focus of this paper is to shed light on how …
ATM (Asynchronous Transfer Mode) has been recommended as the transport vehicle for Broadband Integrated Service Digital Networks (BISDN). The ATM technology offers a great …
S Yuan, Y Wang, X Zhang, X Wang - Mathematics and Computers in …, 2024 - Elsevier
In this paper, the H∞ anti-synchronization problem of switching inertial neural networks with constant leakage delays and time-varying mixed delays is addressed. A direct analysis …
Z Guo, S Sheikh, C Al-Najjar, H Kim, B Malakooti - Wireless Networks, 2010 - Springer
Existing MANET routing protocols rely heavily on hop count evaluation. Although this is simple and efficient, it sacrifices the potential performance gains obtainable by considering …
IW Habib - Proceedings of the IEEE, 1996 - ieeexplore.ieee.org
In the near future, high speed integrated networks, employing asynchronous transfer mode (ATM) cell switching and multiplexing technique, will be used to provide new and diverse …
Z Guo, B Malakooti - 2006 IEEE International Conference on …, 2006 - ieeexplore.ieee.org
Research on wireless routing protocols have been striving to achieve two important but contradicting goals: adaptability to the dynamic network conditions and efficient routing …
Y Li, Z Tang, GP Xia, RL Wang - IEEE Transactions on Circuits …, 2005 - ieeexplore.ieee.org
We propose a positively self-feedbacked Hopfield neural network architecture for efficiently solving crossbar switch problem. A binary Hopfield neural network architecture with …
G Xia, Z Tang, Y Li, J Wang - Neurocomputing, 2005 - Elsevier
In this paper, we propose a hysteretic Hopfield neural network architecture for efficiently solving crossbar switch problems. A binary Hopfield neural network architecture with …