Frequency domain measurement node based on compressive sampling for sensors networks

Angrisani, L.; Bonavolontà, Francesco; Tocchi, Alessandro

doi:10.1109/iwmn.2015.7322972

Cited by 21 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For this quantity, 3σ bounds is also reported. Differently from what can be expected for a low-cost sensor, experienced non-linearity and phase displacement are compatible with zero [26]. As regards the deviation ∆V, its absolute value remains lower than 0.4 mV, whereas the experimental standard deviation of 100 measures exhibits slight variations with respect to the input voltage, so that the 3σ is always lower than 0.5 mV.…”

Section: Analog Front Endcontrasting

confidence: 64%

Smart Power Meters in Augmented Reality Environment for Electricity Consumption Awareness

Angrisani¹,

Bonavolontà²,

Liccardo³

et al. 2018

Energies

View full text Add to dashboard Cite

Reducing or optimizing electrical power consumption is one of the most fundamental goals within the current frameworks of smart energy management. This approach would be spread from the industrial plants, characterized by high consumptions often well distributed throughout the day, down to the domestic utilities, typically discontinuous and with limited consumption at the single user level. More specifically, it is desirable for the latter case to be able to control in a simple and effective way the power consumption of typical household appliances by means of technologies that are already used and spread (such as tablets and smartphones) to become aware of their actual impact, both economic and environmental. To this aim, the authors present the proof-of-principle of user-friendly monitoring system for power consumption awareness based on the recent technologies of Internet of Things (IoT) and Augmented Reality (AR). In particular, common devices such as smartphones associated along with appropriate measurement nodes and a suitable app, developed to the purpose, allow consumers to view in AR environment electrical consumption of their domestic electrical loads to consciously decide whether to switch them off. Performance of both sensor nodes and AR environment were preliminarily assessed in either laboratory experiments or actual household context, highlighting the promising effectiveness of the proposed approach.

show abstract

Section: Analog Front Endcontrasting

confidence: 64%

Smart Power Meters in Augmented Reality Environment for Electricity Consumption Awareness

Angrisani¹,

Bonavolontà²,

Liccardo³

et al. 2018

Energies

View full text Add to dashboard Cite

show abstract

“…The main used protocols for IoT agricultural and livestock farming applications are: (i) the Message Queue Telemetry Transport (MQTT) protocol, (ii) the Constrained Application Protocol (CoAP), (iii) the Extensible Messaging and Presence Protocol (XMPP), (iv) the Advanced Message Queuing Protocol (AMQP), (v) the Data Distribution Service (DDS) protocol, (vi) the Representational State Transfer Hypertext Transfer Protocol (REST HTTP), and (vii) the WebSocket protocol. In [40], it is shown that in most cases MQTT outperforms the other IoT protocols, while the use of CoAP protocol can be considered as the next best option since it attains very promising performance in most network performance indicators.…”

Section: Iot For Smart Livestock Managementmentioning

confidence: 99%

A measurement system for enteric CH4 emissions monitoring from ruminants in livestock farming

Verde,

Guerriero,

Bonavolonta

et al. 2023

Acta IMEKO

View full text Add to dashboard Cite

In this paper, a proposal for an Internet-of-Things (IoT) based measurement system dealing with the enteric methane (CH4) emission monitoring from ruminants is presented. Herein, a brief overview of the recent advances in sensors technologies and their IoT integration for realizing measurement systems able to monitor the CH4 emissions in ruminants is also presented. Nowadays, it is confirmed that CH4 emissions, which are mainly produced during normal fermentation of feeds by the rumen microorganisms, are part of the Green-House Gas (GHG) emissions. Therefore, a classification of the existing measurement methods, sensing technologies and their impact on the animal’s welfare is presented. The proposed measurement system, together with its sensing elements and the developed data acquisition system are also reported in this paper. A preliminary disposal and field trials of the developed system in a farm facility is given.

show abstract

“…To suitably overcome the main drawback associated with wired communication networks, solutions exploiting wireless communication technologies, operating in either licensed or free frequency bands [19] can be investigated. As for licensed bands, the communication infrastructure is owned by telecommunications companies, and the related installation and maintenance costs do not directly burden the power companies.…”

Section: Related Workmentioning

confidence: 99%

Optimization and Performance Assessment of a Logic Selectivity Solution Based on LoRa Communication

et al. 2021

View full text Add to dashboard Cite

Ensuring service continuity has become a fundamental issue for companies involved in electricity distribution; in particular, isolating the smallest possible portion of the network as a result of faults has long been a primary objective. To this aim, solutions based on logic selectivity have been defined and implemented for an efficient search for the network branch affected by the fault and its subsequent isolation. The authors have recently presented a proposal for the implementation of logic selectivity that exploits the LoRa transmission protocol, an ideal solution in the case of areas not reachable by the currently exploited communication technologies. The present paper, instead, deals with the optimization of some LoRa parameters, which made it possible to exploit network configurations in terms of coverage range, sensitivity and signal-to-noise ratio. The performance of the new configuration has been assessed through a number of tests conducted in the laboratory and on-field, highlighting promising results in terms of both intervention times and reliability. In particular, tests conducted in both rural and urban areas have assured fault isolation times as low as 33 ms (fully compliant with the current regulations) in the presence of the most challenging fault condition.

show abstract

Frequency domain measurement node based on compressive sampling for sensors networks

Cited by 21 publications

References 17 publications

Smart Power Meters in Augmented Reality Environment for Electricity Consumption Awareness

Smart Power Meters in Augmented Reality Environment for Electricity Consumption Awareness

A measurement system for enteric CH4 emissions monitoring from ruminants in livestock farming

Optimization and Performance Assessment of a Logic Selectivity Solution Based on LoRa Communication

Contact Info

Product

Resources

About