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Heterogeneous-k-core versus Bootstrap Percolation on Complex Networks
Heterogeneous-k-core Bootstrap Percolation Complex Networks
2011/3/3
We introduce the heterogeneous-k-core, which generalizes the k-core, and contrast it with bootstrap percolation.
Power Allocation Games in Wireless Networks of Multi-antenna Terminals
Wireless Networks Multi-antenna Terminals
2010/11/24
We consider wireless networks that can be modeled by multiple access channels in which all the terminals are equipped with multiple antennas. The propagation model used to account for the effects of ...
Control of large 1D networks of double integrator agents: role of heterogeneity and asymmetry on stability margin
Control large 1D networks double integrator agents role heterogeneity asymmetry on stability margin
2010/11/10
We consider the distributed control of a network of heterogeneous agents with double integrator dynamics to maintain a rigid formation in 1D Euclidean space. The control signal at a vehicle is allowed...
On the Energy Efficiency of LT Codes in Proactive Wireless Sensor Networks
Energy Efficiency LT Codes Proactive Wireless Sensor Networks
2010/11/19
This paper presents an in-depth analysis on the energy efficiency of Luby Transform (LT) codes with Frequency Shift Keying (FSK) modulation in a Wireless Sensor Network (WSN) over Rayleigh fading chan...
A small-world cellular automaton network has been formulated to simulate the long-range interactions of complex networks using unconventional computing methods in this paper. Conventional cellular aut...
A nonlinear small-world network model has been presented to investigate the effect of nonlinear interaction and time delay on the dynamic properties of small-world networks. Both numerical simulations...
Boolean delay equations on networks: An application to economic damage propagation
Boolean delay equations networks economic damage
2010/4/6
We introduce economic models based on Boolean Delay Equations: this formalism makes easier to take into account the complexity of the interactions between firms and is particularly appropriate for stu...
Computing Networks: A General Framework to Contrast Neural and Swarm Architectures
Computing Networks Contrast Neural General Framework Swarm Architectures
2010/4/1
Computing Networks (CNs) are defined. These are used to generalize neural and swarm architectures, namely artificial neural networks, ant colony optimization, and particle swarm optimization. The desc...
A popular account of the connection between random walks and electric networks.