The presence of interference has a significant impact on wireless network connections indoors. Because the effects multipath propagation, such as reflection, refraction, and scattering radio waves by structure building, sent signal can usually be received in free space or via more than one pathway, consequence might phenomenon known fading. For different results, propagation models have been id...

We consider an application of combinatorial search to the optimization topologies in series-parallel networks. propose a recursive over space decomposition trees, which partial solutions are obtained by exploring k-way partitionings expandable nodes. present two complementary pruning techniques that bound value intermediate from above and below, applying monotonic operations contents unresolved...

In this report we want to investigate different methods of Artificial Neural Network optimization. Different local and global methods can be used. Backpropagation is the most common method for optimization. Other methods like genetic algorithm, Tabu search, and simulated annealing can be also used. In this paper we implement GA and BP for ANN.

Electricity distribution networks are subject to random faults. On occurrence of a fault in the distribution network, the circuit breaker on the faulty feeder trips, which disconnects supply to all customers connected to that feeder. Once the fault is located, the faulty component is isolated and then repaired. The cost of isolating and repairing faults depends on the way the network is configu...

This chapter presents design of reliable networks. The exact calculation of any general network reliability measure is NP-hard. Therefore, network designers have been reluctant to use reliability as a design criterion. However, reliability is becoming an important concern to provide continuous service quality to network customers. The chapter discusses various network reliability measures and e...

In many candidate designs of solid-state quantum computers, interactions between qubits are limited to a small number of neighboring qubits. Taking into account this limitation we describe how quantum algorithms can be executed efficiently on these designs. We illustrate our results with the quantum Fourier transform for which linear depth networks are obtained. The concepts presented in this w...

We study how protocol design for various functionalities within a communication network architecture can be viewed as a distributed resource allocation problem. This involves understanding what resources are, how to allocate them fairly, and perhaps most importantly, how to achieve this goal in a distributed and stable fashion. We start with ideas of a centralized optimization framework and sho...

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...

Complex network science is an interdisciplinary field of study based on graph theory, statistical mechanics, and data science. With the powerful tools now available in complex theory for topology, it obvious that topology models can be applied to enhance artificial neural models. In this paper, we provide overview most important works published within past 10 years topic theory-based optimizati...