Category Archive: 'RESEARCH PAPERS IN OMNET++'
This paper presents a cross-layer approach for enabling high-throughput reliable multicast in multi-hop wireless mesh networks. The building block of our approach is a multicast routing metric, called the expected multicast transmission count (EMTX). EMTX is designed to capture the combined effects of MAC-layer retransmission-based reliability, wireless broadcast advantage, and link quality awareness. The EMTX […]
In this paper, a wireless neighbor discovery (ND) process in a linear topology of a high-speed train backbone network is studied. A key step that enables communication in such a network is that of topology discovery (TD), whereby nodes learn in a distributed fashion the physical topology of the backbone network. ND, where each individual […]
This paper is concerned with the design of switch fabrics for on-chip network routers and multicore computer chips. Using a cyclic permutation group representation, it describes an n-terminal, one-sided, binary-tree-crossbar switch fabric comprising a O(lg n) columns of crosspoints with a fan-out of two and n/2 columns of wiring. It also presents a distributed algorithm […]
Femtocells are attractive candidates for future cellular systems since they can greatly improve coverage and data rates. However, severe interference may occur and hinder the improved system performance due to a large number of femtocells sharing frequency bands with the macrocell. In this paper, we consider the interference problem in two-tier femtocell networks and propose […]
Tunable sparse network coding (TSNC) with various sparsity levels of the coded packets and different feedback mechanisms is analysed in the context of data gathering applications in multi-hop networks. The goal is to minimize the completion time, i.e., the total time required to collect all data packets from the nodes while maintaining the per packet […]
Cognitive femtocell has emerged as one of the exciting technologies to solve the indoor coverage problem in the future cellular networks. Recently, lots of technical issues for the cognitive femtocell have been studied, e.g., spectrum sharing, interference mitigation. However, the incentive method that is very important for practical hybrid access cognitive femtocell deployment has not […]
In this paper, a novel static external network reduction appropriate for fault studies and relay coordination in transmission system is proposed. By applying the proposed method to IEEE 14-bus network and Hormozgan Transmission Network, its major advantages, simplicity and accuracy (less than 5% error) have been confirmed in comparison with accurate classic and approximate engineering […]
In conventional switching converter, the parasitic capacitance between switching circuit and ground introduces common mode (CM) noise problem. A CM inductor is inserted in the power feeding paths to produce a high impedance to attenuate the CM noise. However, this parasitic capacitance and the CM inductor create low-frequency resonance near the switching frequency and its […]
It is well known that the inverted pendulum can describe a variety of inherently unstable systems, which is a major reason to consider it as a benchmark problem in control and identification. In this paper, a comparison between two different kinds of neural networks is presented, on one hand the feed-forward multilayer network with back-propagation […]
This study is concerned with the data-based control of networked non-linear control systems with random packet dropouts in both the sensor-to-controller and controller-to-actuator channels. By taking advantage of the characteristics of networked control systems such as the packet-based transmission, timestamp technique, as well as smart sensor and actuator, a data-based networked predictive control (DBNPC) method […]
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