in this paper, we study wsn design, as a multi-objective optimization problem using ga technique. we study the effects of ga parameters including population size, selection and crossover method and mutation probability on the design. choosing suitable parameters is a trade-off between different network criteria and characteristics. type of deployment, effect of network size, radio communication...

One of the most distinguished challenges in studying the aftermath of cyber attacks in smart grid lies in data-centric threats, which refer to cyber attacks aimed at gaining advantage or sabotage the infrastructure by manipulating the data exchanged in the underlying communication network. Even though such attacks are critical by itself in the information network, they will result in more serio...

Grid cell responses develop gradually after eye opening, but little is known about the rules that govern this process. We present a biologically plausible model for the formation of a grid cell network. An asymmetric spike time-dependent plasticity rule acts upon an initially unstructured network of spiking neurons that receive inputs encoding animal velocity and location. Neurons develop an or...

Grid computing systems are being positioned as the high performance computing infrastructure of the future that will be used to solve grand challenge problems and also provide the infrastructure for wide area distributed network computing. The architecture of the Grid will determine if it will meet these challenges. We propose a Grid architecture that is secure, high performance and extensible....

In one of the latest developments in Grid Computing Peer-to-Peer (P2P) networks have become fashionable for the Grid system architecture. The current implementations are either Data Grids or CPU sharing Grids. In this paper we begin to investigate how a P2P network can behave as CPU sharing Grid. In our model the nodes of the network are very simple and either require or offer service for the e...

We introduce a novel system for the usage of neural network resources on a world-wide basis. Our approach employs the upcoming infrastructure of the Grid as a transparent environment to allow users the exchange of information (neural network objects, neural network paradigms) and exploit the available computing resources for neural network specific tasks leading to a Grid based, world-wide dist...

Grid computing offers heterogeneous and distributed resources to scientific communities. Apparently, networks connecting these resources can also be considered as Grid resources. This paper presents ARGON, a system that integrates metro and wide area networks into Grid environments by providing advance reservations and guaranteed network services. Here, single-domain as well as multidomain netw...

In one of the latest developments in Grid Computing Peer-to-Peer (P2P) networks have become fashionable for the Grid system architecture. The current implementations are either Data Grids or CPU sharing Grids. In this paper we begin to investigate how a P2P network can behave as CPU sharing Grid. In our model the nodes of the network are very simple and either require or offer service for the e...