Tag Archive: 'Omnet++ Projects'

Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network

Modern control systems rely heavily on their sensors for reliable operation. Failure of a sensor could destabilize the system, which could have serious consequences to the system’s operations. Therefore, there is a need to detect and accommodate such failures, particularly if the system in question is of a safety critical application. In this paper, a […]

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 […]

Max Contribution: An Online Approximation of Optimal Resource Allocation in Delay Tolerant Networks

In this paper, a joint optimization of link scheduling, routing and replication for delay-tolerant networks (DTNs) has been studied. The optimization problems for resource allocation in DTNs are typically solved using dynamic programming which requires knowledge of future events such as meeting schedules and durations. This paper defines a new notion of approximation to the […]

Design of an automotive safety system using Controller Area Network

Most of the people are using vehicles which have become the most important part in our life for comfort transportation. In existing system the main snags are cost as well as the first one are glaring effect accidents due to opposite vehicle headlight illumination at night time driving. Second one is the short circuit fault […]

Robust Resource Optimization for Cooperative Cognitive Radio Networks with Imperfect CSI

We develop robust resource-allocation schemes for a cognitive radio network (CRN), where the secondary users (SUs) try to communicate with each other from different small cell primary user (PU) networks. User cooperation technique is considered for communication among the SUs since PUs are in close proximity and there are tight interference constraints on the PU […]

Experimental assessment of GMPLS/PCE-controlled Multi-Flow Optical Transponders in flexgrid networks

We propose and implement required GMPLS/PCE routing and signaling protocol extensions for the configuration/control of MF OTPs. A novel online RSMA algorithm allows experimentally evaluating the automatic provisioning of LSPs including MF OTPs.

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 […]

Maximum power point tracking for a photovoltaic water pumping system with sliding mode control and fuzzy wavelet networkMaximum power point tracking for a photovoltaic network

This paper presents a maximum power point tracking method (MPPT) that combines fuzzy wavelet network with sliding mode control for a photovoltaic pumping system. For the best use, the photovoltaic (PV) generator must operate at its maximum power point (MPP). SMC uses a high switching gain to cover the neglected uncertainties in the system model. […]

An application oriented evaluation method for network performance reliability

Congestion phenomenon has been observed in communication networks for many years, and one important reason for this is the effect of network applications. In actual networks, different applications may be provided by the same server node. This results in coupling between the applications. This coupling relationship makes it difficult to evaluate actual network reliability, with […]

Rapid calculation of missile aerodynamic coefficients using artificial neural networks

A variety of machine-learning methods has been applied to problems for which physics-based solutions are either nonexistent or computationally expensive. Based on such methods, surrogate models, i.e., empirical models that are trained on outputs of the more computationally intensive methods, can provide acceptable accuracy while dramatically reducing execution time and expense. This work describes the […]