1,797 research outputs found
IoT-enabled Smart Monitoring and Optimization for Industry 4.0
No full textIn the last decades, forward-looking companies have introduced Internet of Things (IoT) concepts in several industrial application scenarios, leading to the so-called Industrial IoT (IIoT) and, restricting to the manufacturing scenario, to Industry 4.0. Their ambition is to enhance, through proper field data collection and analysis, the productivity of their facilities and the creation of real-time digital twins of different industrial scenarios, aiming to significantly improve industrial management and business processes. Moreover, since modern companies should be as "smar"' as possible and should adapt themselves to the varying nature of the digital supply chains, they need different mechanisms in order to (i) enhance the control of the production plant and (ii) comply with high-layer data analysis and fusion tools that can foster the most appropriate evolution of the company itself (thus lowering the risk of machine failures) by adopting a predictive approach. Focusing on the overall company management, in this chapter we present an example of a "renovation" process, based on: (i) digitization of the control quality process on multiple production lines, aiming at digitally collecting and processing information already available in the company environment; (ii) monitoring and optimization of the production planning activity through innovative approaches, aiming at extending the quantity of collected data and providing a new perspective of the overall current status of a factory; and (iii) a predictive maintenance approach, based on a set of heterogeneous analytical mechanisms to be applied to on-field data collected in different production lines, together with the integration of sensor-based data, toward a paradigm that can be denoted as Maintenance-as-a-Service (MaaS). In particular, these data are related to the operational status of production machines and the currently available warehouse supplies. Our overall goal is to show that IoT-based Industry 4.0 strategies allow to continuously collect heterogeneous Human-to-Things (H2T) and Machine-to-Machine (M2M) data, which can be used to optimize and improve a factory as a whole entity
Sensor networks with random versus uniform topology: MAC and interference considerations
No full textA new communication-theoretic framework for evaluating the performance of static ad hoc wireless networks (e.g., sensor networks) in terms of bit-error-rate (BER) has been introduced (Tonguz, O.K. and Ferrari, G., Carnegie Mellon University, ECE Dept., Tech. Rep. TR-043-2003, 2003; Ferrari and Tonguz, MILCOM, 2003; GLOBECOM, 2003); in it, for simplicity, it was assumed that the nodes lie at the vertices of a uniform square grid structure. Although this framework provides good insights into the performance of a sensor network, the square grid assumption makes it rather idealistic. In fact, the positions of nodes in a real sensor network are more likely to be random. We extend the framework to analyze the performance of an ad hoc wireless network with random topology, and we compare the obtained results with those obtained in the case of the uniform grid topology
Moving towards autonomic, gateway-free cross networking
No full textAn approach based on Internet Protocol version 6 will provide seamless integration of networks for next-generation devices
Un algoritmo non coerente e sue applicazioni alla decodifica iterativa (A noncoherent soft-output decoding algorithm and its applications to iterative decoding)
No full textAd hoc wireless networks: a bottom-up approach
No full textAd hoc wireless networks promise ubiquitous connectivity between wireless users (nodes). However, they differ substantially from fixed wired networks (e.g., fiber optical networks). While in the latter case it is possible to assume negligible bit error rate (BER) over a hop and simply view a hop as a logical link, in the case of ad hoc wireless networks this assumption does not hold.
In this talk, we introduce a novel bottom-up approach to the study and design of ad hoc wireless networks, where the impact of physical layer on the higher layers is investigated. In particular, we consider multi-hop ad hoc wireless networks with perfectly uniform node distribution---although perfect uniformity in the node distribution is clearly unrealistic, this simple approach allows to gain significant insights into the characteristics of ad hoc wireless networks. Assuming that simultaneous communication routes are disjoint justifies absence of retransmission mechanisms, so that one can ignore the presence of buffers at the nodes (queuing theory need not be preliminary considered).
The derivation of a simple expression for the link BER allows to analytically take into account many aspects of the network communication scenario: e.g., the modulation format, channel coding, the presence of inter-node interference (INI), the medium access control (MAC) protocol. We will introduce the concept of minimum spatial energy density, which quantifies the intuitive idea that there must be a minimum amount of energy floating in the network to guarantee connectivity. We will also introduce the concept of effective transport capacity, which quantifies
the actual flow of information in the network, taking into account the connectivity level. Evaluating the effective transport capacity for various modulation formats clearly shows the existence of a trade-off between connectivity and spectral efficiency. High-order modulations allow to support larger transport capacities, but for relatively low traffic load connectivity is lost and the effective transport capacity rapidly drops to zero.
This work is in progress, and many extensions are currently under investigation. This is a joint work with Prof. Ozan K. Tonguz, Carnegie Mellon University, USA
Body Sensor Networks: from Communication to Activity Classification
No full textIn this talk, we will present recent research results on the design and implementation of body sensor networks (BSNs). The first part of the talk will be devoted to "body networks:" on the basis of accurate experimental characterization of the the on-body propagation channels, we will discuss on its implications on network architecture design. Once deployed over the body, each node can be provided with (a lot of) "sensors," which can collect significant information on the person status. In the second part of the talk, we will focus on a specific application, given by activity classification (e.g., recognizing which type of movement a person is doing) through accelerometric and gyroscopic retrieved data. In particular, we will present the approach which lead the WASNLab team (http://wasnlab.tlc.unipr.it/) to win the first BSN Contest (http://bsncontest.org/).
The first part of the talk is carried out in collaboration with the Wireless Communications Group of the Opera Department of the Université Libre de Bruxelles (Belgium)
Seamless (and cloudy) integration of heterogeneous networks: from vertical handover to mobile offloading
No full textIn this talk, we will present an overview of an ongoing research activity on the integration of heterogeneous networks. In particular, we will show the journey from the design of a "device-based" vertical handover algorithm, to its evolution to an Android APP, denoted as BabelTen and available on Google PlayStore, which takes advantage of the cloud to make vertical handover really seamless. We will then present large scale experimental results on the interaction between WiFi and 3G networks, discussing on the evolution of the proposed activity towards efficient mobile data offloading for 4G systems
On iterative detection for channels with memory
No full textThe title of this thesis is "On iterative detection for channels with memory". The core idea and the leitmotif of this work has been trying to find efficient and simple ways to perform iterative detection in a digital communication system characterized by concatenated coding and transmission over a channel with memory. The key steps involved in the development of this research theme can be summarized as follows.
* Individuation of channels with memory, in particular of the source of their memory.
* Soft-output algorithms for channels with memory.
* Complexity reduction for these algorithms with minimal performance degradation.
* Optimization of the reduced complexity algorithms.
* An example of application.
Each key point indicated above has found a possible development in this thesis. The solutions proposed are by no means the only ones. They are possible solutions
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