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IEEE MELECON 2020
MELECON 2020 - 2.2

Technical Session

IEEE Mediterranean Eletrotechnical Conference 2020

IEEE MELECON 2020

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Session 2.2 - Wireless systems

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PRESENTATIONS
SESSION DETAILS

An Experimental Validation of the Naïve Approach to Angle of Arrival Estimation for Green WSNs

Antonello Florio - Politecnico di Bari, Italy

PRESENTATION

An Experimental Validation of the Naïve Approach to Angle of Arrival Estimation for Green WSNs

ABSTRACT

In this work, the so-called na¨ıve approach to Angle of Arrival (AoA) estimation is discussed and experimentally characterized. Mathematical evaluations are proposed for Uniform Linear Arrays antennas allowing to evaluate advantages and disadvantages coming from this method. Experiments validate the approach and give a practical proof of its limits. The great advantage of the proposed method is that it requires only a trigonometric function inversion and simple computations like multiplications. This allows using specific and classical computational complexity reduction, like CORDIC, to solve the problem and giving the possibility to employ the method in full-hardware AoA estimation systems.

Efficient Transmission of Live Multi-View Video in LTE-A Cellular Networks using D2D Cooperation

John Zammit - University of Malta, Malta

PRESENTATION

Efficient Transmission of Live Multi-View Video in LTE-A Cellular Networks using D2D Cooperation

ABSTRACT

The increase in video traffic is causing considerable load on the already-limited cellular network resources. This poses a new landscape of challenges to service and network providers in distributing bandwidth-hungry services such as Multi-View Video (MVV). A paradigm to circumvent this challenge is to allow direct communication between closely located User Equipment (UE) without data routing via the radio and core network components. Device-to-Device (D2D) capable networks promise scalability and performance improvements in utilizing scarce resources. In this work, a mode selection strategy at the Base Station (BS) is proposed. It considers segment availability information at the UE to decide whether the Mobile User (MU) receives dedicated resources via a traditional Content Delivery Network (CDN) or reuse existing resources via the D2D communications channel. A novel architecture whereby the BS in the Radio Access Network (RAN) has video buffers, with caching maps which are aware of the video preferences of users in cell sites is analyzed. This presents the foundation to build a D2D-enhanced live MVV streaming system with no additional infrastructure for mobile devices. Simulation results provide guidelines for maximizing view and user diversity as well as bandwidth scalability in Long-Term Evolution (LTE) networks in order to achieve high system resource utilization whilst mitigating load on the network.

Relay Node Selection in Bluetooth Mesh Networks

Marco Reno - Università degli studi di Catania, Italy

PRESENTATION

Relay Node Selection in Bluetooth Mesh Networks

ABSTRACT

Bluetooth Mesh (BM) is a new communication protocol for the Internet of Things that is used to establish manyto-many device communication. BM allows for easy creation of large connection-less mesh networks using a controlled-flooding propagation mechanism, in which relay nodes broadcast the received messages to all neighbors until the message reaches its destination. This model, however, makes BM networks susceptible to broadcast-storm effects, which can hinder the scalability of the protocol. Opportune relay node selection is therefore of critical importance to control network traffic and improve network performance. This paper focuses on the choice of relay selection algorithms suitable for BM networks. In particular, different centralized, decentralized, and localized algorithms based on Connected Dominating Set (CDS) are evaluated and compared.

A Battery-free Asset Monitoring System based on RF Wireless Power Transfer

Roberto La Rosa - STMicroelectronics, Italy

PRESENTATION

A Battery-free Asset Monitoring System based on RF Wireless Power Transfer

ABSTRACT

In the Internet of Things (IoT) era, asset monitoring represents an appealing implementation of Wireless Sensor Networks due to the enormous benefits associated with being able to monitor and record the exact position and transportation conditions of assets, personal objects, and the like. This kind of infrastructure enables the provision of increasingly advanced services, including the ability to measure the movement speed of a monitored asset using relatively inexpensive nodes with sensing capabilities and wireless transmission and reception. These nodes would ideally employ battery-free sensors that do not require any maintenance, but conventional power supply management systems cannot satisfy this requirement. In response to the heightening demand and interest surrounding Battery-free tags, this article proposes a system inside a Wireless Sensor Network infrastructure that uses battery-free tags to identify an asset and monitor its speed. The battery-free tags are powered by RF energy through Wireless Power Transfer (WPT), and the speed of an asset proceeding at constant speed is achieved by measuring the time that the tag takes to traverse a series of hot-spots interspersed at specific distances. Our discussion shall include the performance characteristics and key features of a system on chip (SoC) specifically designed to power a node through RF WPT. The outcome is a strategy and a model for designing the infrastructure by providing the optimum number of hot-spots needed to perform the identification of an asset and measure its speed. Validation of the model has been performed through specific tests and experimental results have been provided.

Self-powered wireless IoT nodes for emergency management

Rosario Fedele - University Mediterranea of Reggio Calabria, Italy

PRESENTATION

Self-powered wireless IoT nodes for emergency management

ABSTRACT

Expected and unexpected events affect road infrastructure leading to several issues that require maintenance interventions or prompt actions. In order to face the issues mentioned above, specially designed platforms can be used. Despite the high number of solutions presented in the last decades, it is difficult to find real applications of systems deputed to the emergency management of the abovementioned infrastructures. This paper aims at describing an innovative platform and the results of its first application. The platform consists of a system and algorithms that allow environmental and structural monitoring and emergency management. The proposed system consists of a network of wireless sensor nodes that are self-powered by mean of photovoltaic energy harvesters. Two different types of algorithms were designed to monitor the environmental and structural condition (i.e., the vibro-acoustic signature) of different types of structures and infrastructures, and to display, thanks to a dashboard, several predefined alarms, escape routes, safe place, and gathering points. The results presented in the paper refers to the first application of the platform, here tailored for an Italian theme park in the framework of the project “SICURVIA” funded by Regione Calabria, Italy. These results, presented for the first time, show that the platform is able to extract crucial information about the conditions of the thematic park’s assets, and, at the same time, this information are used to recognize an emergency, trigger the related alarm, and provide a plan to manage the extraordinary event happened.

A Novel Plasmonic Nanoantenna for High Efficiency Energy Harvesting Applications

Patrizia Livreri - University of Palermo, Italy

PRESENTATION

A Novel Plasmonic Nanoantenna for High Efficiency Energy Harvesting Applications

ABSTRACT

In this paper, the results of a geometric investigation of plasmonic nanoantennas for energy harvesting applications in terms of field enhancement and available power are presented. Optimum performances are obtained by a particular arrow-shaped bowtie nanoantennas geometry. The novel nanoantenna geometry is here presented. The simulations of the novel nanoantennas made of aluminium, on a three-layers substrate, composed by silicon, silicon oxide, and aluminium, carried out with CST 2018 tool, are reported and compared with the classical bowtie nanoantennas ones. This study can guide both the engineering and the fabrication of plasmonic nanoantennas.

Optimization of diode bridge rectifier output voltage in Train Suspension Energy Harvesters

Luigi Costanzo - University of Campania Luigi Vanvitelli, Italy

PRESENTATION

Optimization of diode bridge rectifier output voltage in Train Suspension Energy Harvesters

ABSTRACT

This paper is focused on energy harvesting from railcar suspensions. In particular, the power extracted from a train suspension energy harvester based on a mechanical motion rectifier system is evaluated in presence of a passive AC/DC converter. Through a proper theoretical analysis, experimentally validated, it is shown that the extracted power is strictly dependent on the DC side voltage and that the value of the DC voltage at the output of the diode bridge rectifier maximizing the average extracted power is proportional to the generator speed. The above analysis is essential for the proper design of maximum power point tracking techniques.

SESSION CHAIRS

Fabio Viola

University of Palermo, Italy

e-BADGE

Marco Balato

University of Napoli Federico II, Italy

e-BADGE

Technical Session

IEEE Mediterranean Eletrotechnical Conference 2020

IEEE MELECON 2020

Session 2.2 - Wireless systems

An Experimental Validation of the Naïve Approach to Angle of Arrival Estimation for Green WSNs

Efficient Transmission of Live Multi-View Video in LTE-A Cellular Networks using D2D Cooperation

Relay Node Selection in Bluetooth Mesh Networks

A Battery-free Asset Monitoring System based on RF Wireless Power Transfer

Self-powered wireless IoT nodes for emergency management

A Novel Plasmonic Nanoantenna for High Efficiency Energy Harvesting Applications

Optimization of diode bridge rectifier output voltage in Train Suspension Energy Harvesters

SESSION CHAIRS

Fabio Viola

Marco Balato