ASYMPTOTIC ANALYSIS OF RANDOMWIRELESS NETWORKS: BROADCASTING, SECRECY, AND HYBRID NETWORKS

In this paper, we propose an efficient hybrid location algorithm with BP neural networks. We choose two-layer backpropagation network for data fusions and position estimation to improve hybrid location accuracy and efficiency with TOA/TDOA/AOA parameters in mobile communication networks. So the position estimation can be optimized by network parallel processing robustly, and the inaccuracy or f...

In this paper “Digital Transceiver using Hybrid Ternary Technique” gives the details about digital transmitter and receiver with the design of a hybrid ternary line coding. Current applications of line codes are enormous in data transmission networks and in recording and storage of information systems. The applications include local and wide area networks both wireless and wire connected and th...

In response to the need for faster and fatter networks for large-scale HPC cluster systems, hybrid optical/electrical networks have been proposed as an affordable and high-capacity solution. Still, there is no prior work evaluating the performance of HPC workloads over such types of networks. To fill this gap, this work presents a hybrid network architecture comprising commodity-only equipment,...

Artificial neural networks provide a methodology for solving many types of nonlinear problems that are difficult to solve using traditional techniques. Neurogenetic hybrid systems bring together the artificial neural networks benefits and the inherent advantages of evolutionary algorithms. A functional approximation method using neuro-genetic hybrid systems is proposed in this paper. Three evol...

A supervisory hybrid system may be modeled from two levels: logic level (upper) and continuous level (lower). In this paper, adaptive fuzzy Petri nets and neural networks are combined together for supervisory hybrid system modeling. Adaptive Fuzzy Petri Net is adopted to model the supervisory logic parts, and dynamic neural networks are applied to continuous parts. Two hybrid system examples ar...

This paper first discusses the machine to machine (M2M) domain architecture which becomes the basic model for hybrid Medium Access Control (MAC) protocols for large M2M networks and also it sets the background for hybrid MAC scheme. A review of the contention based and reservation based MAC protocols used in M2M networks is then made. Refer ences Liu,Y. , Yuen, C. , Chen, J. and Cao, X. 2013. A...

Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the advantages of linear time complexity and applicable for large-scale networks. However, there are many shortcomings in these methods such as in...

artificial neural networks (anns) are flexible computing frameworks and universal approximators that can be applied to a wide range of time series forecasting problems with a high degree of accuracy. however, despite of all advantages cited for artificial neural networks, they have data limitation and need to the large amount of historical data in order to yield accurate results. therefore, the...

Nowadays, there is a great deal of attention for regulations of carbon emissions to enforce the decision-makers of production and distribution networks to redesign their systems satisfactorily. The literature has seen a rapid interest in developing novel metaheuristics to solve this problem as a complicated optimization problem. Such difficulties motivate us to address a production-distribution...