Tag Archive: '2016 Omnet++ Projects'

Nation-wide deployment of (long-reach) passive optical networks: Computing the location and number of active nodes.

For the European project DISCUS, we study the deployment of active nodes to connect all customers in different countries via (long-reach) passive optical networks. In particular, we investigate design parameters such as the resilience strategy, the maximum node size, and the maximum signal reach. We evaluate the resulting node distributions and survivable fiber route connections […]

The Optimal Node Placement for Long Belt Coverage in Wireless Networks

The optimal node placement for a very large plane without boundary effect has been proven to be the regular triangular-lattice pattern in 1939. However, the regular triangular-lattice placement may not be optimal in a long belt with an upper and lower boundary. This paper proposes an optimal node deployment pattern to minimize the number of […]

Minimal virtualized-elastic-regenerator placement and least congestion resources assignment for translucent elastic optical networks

A virtualized-elastic-regenerator (VER) is a promising solution for efficiently regenerating various superchannels in elastic optical networks. We propose an effective heuristic for calculating minimal VER placement, routing, and least congestion resources assignment.

Evaluating harmonic voltage distortion in load-variating unbalanced networks using Monte Carlo simulations

This study presents a new methodology for modelling and handling with aggregated harmonic loads and linear loads in the harmonic power flow analysis. This method, so-called variable load method, can be used in balanced and unbalanced systems and for deterministic and stochastic studies. The main types of harmonic loads and their participation coefficients inside the […]

Towards a hybrid approach of Primitive Cognitive Network Process and Self-Organizing Map for computer product recommendation

Products have similarities which can be analyzed to recommend products to consumers with different preferences. This paper combines Primitive Cognitive Network Process (PCNP) and Self-Organizing Map (SOM) to cluster products into appropriate categories on the basis of consumer preferences and product similarities. PCNP is an ideal alternative of Analytic Hierarchy Process (AHP) to quantify the […]

Channel, Queue and Delay Aware Resource Allocation in Buffer-Aided Relay-Enhanced OFDMA Networks

Resource allocation is an important factor in providing different varieties of services in next generation broadband wireless systems. In this paper we consider dynamic routing and subchannel allocation for providing Quality of Service (QoS) in the downlink of OFDMA networks enhanced with buffering relays. Specifically, we consider satisfying the QoS requirements of both delay-sensitive users […]

Swarm and Classical Based Routing Schemes in Wireless Sensor Network

The wireless Sensor Network is basically an application specific network. It is not possible to generalize an optimal solution for the WSN problems. It totally depends upon application selection and resource availability. Since in WSN a large no of sensor nodes are deployed so each sensor behaves as receptor and forwarder for the data from […]

Impact of Solar Panels on Power Quality of Distribution Networks and Transformers

This paper presents an investigation on the impact of solar panels (SPs) on the power quality of distribution networks and transformers. Both solar farms and residential rooftop SP are modeled with the distribution network according to Canadian Utility data. Total harmonic distortion of voltages and currents on both sides of the distribution transformer are monitored […]

Mixed H-Infinity and Passive Filtering for Discrete Fuzzy Neural Networks With Stochastic Jumps and Time Delays

In this brief, the problems of the mixed H-infinity and passivity performance analysis and design are investigated for discrete time-delay neural networks with Markovian jump parameters represented by Takagi-Sugeno fuzzy model. The main purpose of this brief is to design a filter to guarantee that the augmented Markovian jump fuzzy neural networks are stable in […]

Countermeasure for Reinforcement Swap Attack against Directed Diffusion in Wireless Sensor Networks

Directed Diffusion is a data centric protocol that focuses on the energy efficiency of the networks. It is interest based routing protocol in which communication occur hop-to-hop rather than end-to-end in wireless sensor networks. Hop-to-hop communication provides link diversity which helps to overcome obstacles like failure of intermediate node on communication path. Directed Diffusion protocol […]