Tag Archive: 'Omnet Tutorial'

BaProbSDN: A probabilistic-based QoS routing mechanism for Software Defined Networks

Over the past decade there has been an exponential increase in the Internet traffic especially with the proliferation of cloud computing and other distributed data services. This explosion of data traffic with its dynamically changing traffic patterns and flows might result in degradation of the network performance. In this context, there is a need for […]

A Supervisory Load-Leveling Approach to Improve the Voltage Profile in Distribution Network

This paper suggests a supervisory control for storage units to provide load leveling in distribution networks. This approach coordinates storage units to charge during high generation and discharge during peak load times, while utilized to improve the network voltage profile indirectly. The aim of this control strategy is to establish power sharing on a pro […]

VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils

Online social networks (OSNs) suffer from the creation of fake accounts that introduce fake product reviews, malware and spam. Existing defenses focus on using the social graph structure to isolate fakes. However, our work shows that Sybils could befriend a large number of real users, invalidating the assumption behind social-graph-based detection. In this paper, we […]

A recommender system architecture for predictive telecom network management

Current telecom networks generate massive amounts of monitoring data consisting of observations on network faults, configuration, accounting, performance, and security. Due to the ever increasing degree of complexity of networks, coupled with specific constraints (legal, regulatory, increasing scale of management in heterogeneous networks), the traditional reactive management approaches are increasingly stretched beyond their capabilities. A […]

Demonstration of multi-hop optical add-drop network with high frequency granular optical channel defragmentation nodes

Four nodes optical add-drop network with high frequency granular optical channel defragmentation has been demonstrated. All channels presents error-free operation and power penalties are less than 4 dB even after multi-hop transmission.

Robust Synchronization of Multiple Memristive Neural Networks With Uncertain Parameters via Nonlinear Coupling

This paper is concerned with the global robust synchronization of multiple memristive neural networks (MMNNs) with nonidentical uncertain parameters. A coupling scheme is introduced, in a general topological structure described by a direct or undirect graph, with a linear diffusive term and a discontinuous sign term. First, a set of sufficient conditions are derived based […]

Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators

In the recent years, inexact computing has been increasingly regarded as one of the most promising approaches for slashing energy consumption in many applications that can tolerate a certain degree of inaccuracy. Driven by the principle of trading tolerable amounts of application accuracy in return for significant resource savings–the energy consumed, the (critical path) delay […]

Sparsity Enhanced Mismatch Model for Robust Intercell Interference Management in Heterogeneous Networks with Doubly-Selective Fading Channels

Transmission over doubly-selective fading (DSF) interference channel often relies on the use of robust precoder due to a lack of accurate channel state information, with performance often depending on the conservativeness of the mismatch model. Previously proposed mismatch models either have been deemed too conservative (deterministic models) or are prone to error due to inaccuracy […]

Effective Key Management in Dynamic Wireless Sensor Networks

Recently, wireless sensor networks (WSNs) have been deployed for a wide variety of applications, including military sensing and tracking, patient status monitoring, traffic flow monitoring, where sensory devices often move between different locations. Securing data and communications requires suitable encryption key protocols. In this paper, we propose a certificateless-effective key management (CL-EKM) protocol for secure […]

The SDN/NFV Cloud Computing platform and transport network of the ADRENALINE testbed

This work extends NFV paradigm to transport networks, known as Transport NFV. This paper presents a detailed overview of the SDN/NFV services that are offered on top of the Cloud Computing platform and transport network of the ADRENALINE Testbed. On the one hand, we propose a generic architecture for SDN/NFV services deployed over multi-domain transport […]