We investigate the phenomenon of diffusion in a countably infinite society individuals interacting with their neighbors network. At given time, each individual is either active or inactive. The driven by two characteristics: network structure and mechanism represented an aggregation function. distinguish between mechanisms (probabilistic, deterministic) focus on types functions (strict, Boolean...

In several network problems the optimal behavior of agents (i.e., nodes network) is not known before deployment. Furthermore, might be required to adapt, i.e. change their based on environment conditions. these scenarios, offline optimization usually costly and inefficient, while online methods more suitable. this work, we use a distributed Embodied Evolution approach optimize spatially distrib...

Epidemic protocols proved to be very efficient solutions for supporting dynamic and complex information diffusion in highly distributed computing infrastructures, like P2P environments. They are useful bricks for building and maintaining virtual network topologies, in the form of overlay networks as well as to support pervasive diffusion of information when it is injected into the network. This...

This paper presents distributed conjugate gradient (CG) algorithms for distributed parameter estimation and spectrum estimation over wireless sensor networks. In particular, distributed conventional conjugate gradient (CCG) and modified conjugate gradient (MCG) algorithms are developed with incremental and diffusion adaptive cooperation strategies. The distributed CCG and MCG algorithms have an...