Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
Recent evolution in computer networks clearly demonstrates a trend towards complex and dynamic networks. To fully exploit the potential of such heterogeneous and rapidly evolving ...
Nico Janssens, Lieven Desmet, Sam Michiels, Pierre...
In this paper, we present the design and simulation of a bandwidth constrained multiple path on-demand routing protocol for ad-hoc networks to support end-to-end Quality of Servic...
In this paper we study the performance properties of combined multiple heterogeneous networks. Consider two nodes node1 and node2 with multiple heterogeneous physical networks con...
Nader Mohamed, Jameela Al-Jaroodi, Hong Jiang, Dav...
We investigate the performance issues of destinationsequenced distance vector (DSDV) and ad-hoc on-demand distance vector (AODV) routing protocols for mobile ad hoc networks. Four...
Yi Lu, Weichao Wang, Yuhui Zhong, Bharat K. Bharga...