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In this paper, a new reconfiguration policy and a new algorithm for the virtual topology design, named CONGA-VTD (Cost-OptimizatioN Genetic Algorithm for Virtual Topology Design) for Wavelength-Routed Optical Networks are proposed. The objectives of both proposals are to minimize the Packet Loss Ratio (PLR) and the OPerational EXpenditures (OPEX). A simulation study is presented to demonstrate the...
Power Distribution Network Reconfiguration demands the change of current state of the network in order to reach optimal operation according to some previouly defined figures of merit. This paper presents a new methodology based on Multi-Agent Systems for power distribution network reconfiguration aiming at minimizing power losses based on game theory. The principal characteristic of the game is the...
The multicast rate of satellite communication networks (SCN) can be maximized by using randomized network coding (RNC). To optimize the RNC-based multicast for SCN, the number of coding links should be minimized to reduce the computational complexity on satellite, while the dynamic topology needs to be considered. To this end, in this paper, we propose an improved genetic algorithm (IGA) to minimize...
In this paper we face the problem of the joint optimization of both topology and network parameters in order to minimize the total active power losses in a real Smart Grid. It is considered a portion of the Italian electric distribution network managed by the ACEA Distribuzione S.p.A. located in Rome which presents back-flows of active power for 20% of the annual operative time. It includes about...
Network-on-chip (NoC) has been introduced as a promising on-chip communication architecture to support many IP (intellectual property) cores on a single chip. Application mapping of IP cores onto a NoC topology is considered as a NP-hard problem. The increasing number of IP cores makes NoC application mapping more challenging to obtain optimum core-to-topology mapping. This paper proposes a genetic...
Modern RF communication technologies often shift the baseband processing to the digital domain, thus requiring an analog-to-digital converter (ADC) as interfacing element. For most applications, those ADCs must provide very-high conversion rate at low cost (effective in terms of area and power). We propose an improved binary-search ADC topology, which relies on a pipeline of threshold-reconfigurable...
IEEE 802.16j supports WiMAX in extending the service area of Base Stations (BSs) through Relay Stations (RSs) for serving more Subscriber Stations (SSs). Effective allocation of resources is key to maximize the number of served SSs for the downlink broadcast service in IEEE 802.16j WiMAX relay network. Most existing studies concentrate on the single-level relay network where the BS sends data to the...
Flexible job-shop scheduling problem (FJSP) is very important in many research fields such as production management and combinatorial optimization. The FJSP problems cover two difficulties namely machine assignment problem and operation sequencing problem. In this paper, we apply particle swarm optimization (PSO) algorithm to solve this FJSP problem aiming to minimize the maximum completion time criterion...
This paper presents an optimized structure of photonic crystal fiber (PCF) by using genetic algorithms (GAs) and finite different frequency domain method. Our goal is to find a structure having small diffraction angle and good confine property. We also compare the optimal field profile with fitting Bessel function. Although the diffraction angle of Bessel functions is narrower than that in our case,...
The cost of optical backbone network has increased nowadays. So we need to reduce this cost. One of the major contributory costs is the power consumed by the underlying network. Power may also be consumed by different network equipments viz. add-drop multiplexers (ADM), Network Interface Device (NID), Optical Network Terminal (ONT), electrical-to-optical-to-electrical (EOE) conversion etc. In this...
In this paper, we deal with the impact of the population size and number of generations on the performance of a dense WMN. The network is compound of 8 mesh routers and 96 mesh clients. We evaluate the performance considering giant component, number of covered users and the total execution time of GA. The simulation results show that the increase of the population size or the increase of the number...
We introduce two new self-positioning techniques for autonomous nodes in a mobile ad hoc network to spread over unknown two-dimensional deployment terrains. In our first node self-spreading algorithm, called NSVA, each node moves according to the Voronoi tessellation of its sensing area. Our second self-positioning technique, called NSVGA, is based on a genetic algorithm that utilizes the area of...
This paper presents a deterministic approach for network reconfiguration and a heuristic technique for optimal capacitor placement for power-loss reduction and voltage profile improvement in distribution networks. Related to the reconfiguration, a Minimum Spanning Tree (MST) algorithm is utilized to determine the configuration of minimum losses. After that, a Genetic Algorithm (GA) is implemented...
In Wireless Mesh Networks (WMNs), the performance of the network is affected by the location of mesh nodes. The placement of mesh nodes is an important design issue in deploying such networks. For a given grid size and a given number of mesh nodes, we use Genetic Algorithms (GAs) to find where to position the mesh nodes in order to maximize the coverage and the connectivity of the network. In this...
In this paper, we use WMN-GA system for node placement problem in WMNs. For a given grid size and a given number of mesh nodes, our WMN-GA system use Genetic Algorithms (GAs) to find where to position the mesh nodes in order to maximize the coverage and the connectivity of the network. We evaluate and compare the performance of Weibull and Exponential distributions considering giant component and...
Collaborate beamforming in wireless sensor networks (WSNs) is a concept of using beamforming technology to establish link in the networks. It can effectively increase the transmission distance and improve the energy efficiency of the networks. Due to random deployment of the sensor nodes in the networks, proper assignment for the sensor nodes in wireless sensor networks is vital to achieve better...
Network coding is a method that increases network throughput by encoding several packets with single packet size length and forwards the packet in a single transmission time slot. At the same time, network coding increases the complexity of packets management and delay of network due to the waiting time for network coding opportunity. A solution based on improved genetic algorithm is proposed to optimize...
Low voltage power line due to high noise, high attenuation and high time-varying characteristics not only the signal transmission distance was restricted, but also the reliability of communication was reduced, so the meter reading range and accuracy were affected. In this paper, typical topology structure and its characteristics of meter reading system were analyzed in detail, the ant colony genetic...
Given the node location and the traffic matrix, the survivable topological design is the problem of determining the network topology at minimum capital expenditure such that survivability is ensured. This problem is strongly NP-hard and heuristics are traditionally used to search near-optimal solutions. We present a genetic algorithm for this problem and analyze the impact of the initial population...
With the emergence of several new networking paradigms, optimization modeling and resolution turns out to be crucial to achieve optimized performance networks. One such networking paradigm that requires resolution of optimization problems is Wireless Mesh Networks (WMNs). In this paper, we deal with the effects of population size in GA for node placement problem in WMNs. We evaluate the performance...
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