The paper presents the design and experimentation of a Web server for command, control and monitoring of industrial equipment. The server has the following main components: Atmega2560 microcontroller as a CU and the W5100 network controller. The user is connected to the Web server through the Internet. The equipment is connected to the server ports, analog or…
Tags: IEEE OMNeT++ Projects
Orthogonal stacked composite M-sequence labels for quick packet routing over optical MPLS network
In this paper, we construct a composite label sets for optical multi-protocol label switching (MPLS)network. Relatively prime lengths maximal-length (M-sequence) codes are taken to compose into spectral-amplitude coding (SAC) labels. These composite M-labels possess good orthogonality and are compatible with packet labels stacking. With correlation subtraction scheme in packet routing node, local node label can…
CogCell: cognitive interplay between 60 GHz picocells and 2.4/5 GHz hotspots in the 5G era
The rapid proliferation of wireless communication devices and the emergence of a variety of new applications have triggered investigations into next-generation mobile broadband systems, i.e. 5G. Legacy 2G-4G systems covering large areas were envisioned to serve both indoor and outdoor environments. However, in the 5G era, 80 percent of all traffic is expected to be…
Resource Allocation for Power Minimization in Multi-Band Wireless Networks
This paper designs a resource allocation to minimize the total transmit power of a multi-band wirelessnetwork under the required rate constraint. The required rate splitting scheme is proposed to reduce the computational complexity of the multi-band resource allocation. On the basis of the primal decomposition method, the multi-band resource allocation is decomposed into multiple sub-band…
Optimum decision fusion in cognitive wireless sensor networks with unknown users location
We consider a cooperative cognitive wireless network scenario where a primary wireless network is co-located with a cognitive (or secondary) network. In the considered scenario, the nodes of the secondary network make local binary decisions about the presence of a signal emitted by a primary node. Then, they transmit their decisions to a fusion center…
Relay X channels without channel state information at the transmit sides: Degrees of freedom
This paper focuses on the two-user relay-assisted X channel with no channel state information (CSI) available at the transmitter side. Two relaying modes, namely half-duplex decode-and-forward (DF) andcognitive relays, are considered and the degrees of freedom (DoF) are characterized. It is shown that assisted by a half-duplex DF relay that is equipped with 2M antennas, the…
On the Two-User Interference Channel With Lack of Knowledge of the Interference Codebook at One Receiver
In multiuser information theory, it is often assumed that every node in the network possesses all codebooks used in the network. This assumption may be impractical in distributed ad hoc, cognitive, or heterogeneous networks. This paper considers the two-user interference channel with one oblivious receiver (IC-OR), i.e., one receiver lacks knowledge of the interfering cookbook,…
Sophisticated Traffic Lights Control using Neural Networks
This research work presents the previous results of implementing autonomous traffic light control system based on sophisticated agents to overcome problems like congestion, pollutant emissions and fuel consumption in modern cities. The proposed agent based approach uses back propagation neural networks to provide green light intervals according to the demand level of the intersection. The…
Nash Game Based Distributed Control Design for Balancing of Traffic Density over Freeway Networks
In this paper, we study the problem of optimal balancing of vehicle density in the freeway traffic. The optimization is performed in a distributed manner by utilizing the controllability properties of the freeway network represented by the Cell Transmission Model. By using these properties, we identify the subsystems to be controlled by local ramp meters.…
Detecting packet dropping nodes using machine learning techniques in Mobile ad-hoc network: A survey
Mobile ad-hoc networks have to suffer with different types of packet dropping attacks. Therefore, we need strong mechanism to detect these malevolent nodes and to classify normal and abnormal nodes as per the behavior of nodes. Machine learning techniques distinguish outlier nodes quickly and accurately provide classification by observing behavior of those nodes in the…