Researches on Wireless Sensor Networks (WSNs) have been increased tremendously in the recent years. Cluster-based Wireless Sensor Network out performs flat network in terms of data routing, energy dissipation, data load balancing, etc. A self organized cluster-based sensor network that has the cluster management mechanisms for new nodes joining and existing nodes leaving, is defined…
Category: M.TECH PROJECT IN OMNET
Structural balance and opinion separation in trust–mistrust social networks
Structural balance theory has been developed in sociology and psychology to explain how interacting agents, e.g., countries, political parties, opinionated individuals, with mixed trust and mistrust relationships evolve into polarized camps. Recent results have shown that structural balance is necessary for polarization in networks with fixed, strongly connected neighbor relationships when the opinion dynamics are…
Spectrum Monitoring Using Energy Ratio Algorithm for OFDM-Based Cognitive Radio Networks
This paper presents a spectrum monitoring algorithm for Orthogonal Frequency Division Multiplexing (OFDM) based cognitive radios by which the primary user reappearance can be detected during the secondary user transmission. The proposed technique reduces the frequency with which spectrum sensing must be performed and greatly decreases the elapsed time between the start of a primary…
Data-oriented malleable reservation to revitalize spectrum fragments in elastic optical networks
This paper investigates malleable reservation (MR) for data-oriented requests to revitalize spectrum fragments in elastic optical networks. We formulate a mixed integer linear programming model and propose a time-efficient heuristic to solve the MR problem.
Global Exponential Stability for Discrete-Time Networks With Applications to Traffic Networks
This paper provides sufficient conditions for global asymptotic stability and global exponential stability, which can be applied to nonlinear, large-scale, uncertain discrete-time networks. The conditions are derived by means of vector Lyapunov functions. The obtained results are applied to traffic networks for the derivation of sufficient conditions for global exponential stability of the uncongested equilibrium…
Full duplex techniques for 5G networks: self-interference cancellation, protocol design, and relay selection
The wireless research community aspires to conceive full duplex operation by supporting concurrent transmission and reception in a single time/frequency channel for the sake of improving the attainable spectral efficiency by a factor of two as compared to the family of conventional half duplex wireless systems. The main challenge encountered in implementing FD wireless devices…
Distributed Topological Convex Hull Estimation of Event Region in Wireless Sensor Networks without Location Information
In critical event (e.g., fire or gas) monitoring applications of wireless sensor networks (WSNs), convex hull of the event region is an efficient tool in handling the usual tasks like event report, routes reconstruction and human motion planning. Existing works on estimating convex hull of event region usually require location information of sensor nodes, which…
A New Pan-Sharpening Method With Deep Neural Networks
A deep neural network (DNN)-based new pansharpening method for the remote sensing image fusion problem is proposed in this letter. Research on representation learning suggests that the DNN can effectively model complex relationships between variables via the composition of several levels of nonlinearity. Inspired by this observation, a modified sparse denoising autoencoder (MSDA) algorithm is…
TDMA-based MAC Protocols for Vehicular Ad Hoc Networks: A Survey, Qualitative Analysis and Open Research Issues
Vehicular Ad-hoc NETworks (VANETs) have attracted a lot of attention in the research community in recent years due to their promising applications. VANETs help improve traffic safety and efficiency. Each vehicle can exchange information to inform other vehicles about the current status of the traffic flow or a dangerous situation such as an accident. Road…
Directivity Estimations for Short Dipole Antenna Arrays Using Radial Basis Function Neural Networks
The role of directivity is very important in the operation of an array as it gives a measure of the effectiveness of the array in pointing the radiations in a specific direction. Traditional methods used for the computation of directivity are although effective but may be time consuming. Artificial neural networks (ANNs) do not require…