An Internet of Things Based Platform for Real-Time Management of Energy Consumption in Water Resource Recovery Facilities

Nunes, Mário Serafim; Alves, Rita de Cássia; Casaca, Augusto; Póvoa, Pedro; Botelho, José

doi:10.1007/978-3-030-15651-0_11

Cited by 5 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this work the authors focus on the integration of the collection of data from sensor devices and their transmission to a cloud based data storage server. In [16] the authors describe the design of an Internet of Things based platform having as main objective the real-time management of energy consumption in water resource recovery facilities and their integration in a future demand side management environment. A very interesting solution is presented in [17] where a low-cost remote monitoring system for dangerous areas based on drones is described that again takes advantage of LoRa and MQTT as the basic technologies.…”

Section: Related Workmentioning

confidence: 99%

Fudge

Nakamura

Manzoni

Zennaro

et al. 2020

Proceedings of the 1st Workshop on Experiences With the Design and Implementation of Frugal Smart Objects

View full text Add to dashboard Cite

The growing connection among IoT and AI poses many challenges that call for novel approaches and rethinking of the entire architecture, communication, and processing to meet the requirements in latency, reliability, and use of resources. Edge computing is a promising approach in this sense. Moreover, it can become beneficial to bring advanced, i.e., AI-based, IoT solutions in areas where connectivity is scarce and where in general resources are limited.In this paper we describe an edge/fog generic architecture to allow the adoption of edge solutions in IoT deployments in poorly connected and resource limited scenarios. To this end we integrated, using microservices, an MQTT based system that can collect ingress data, handle their persistency, and coordinate data integration with the cloud using a specific service called aggregator. The edge stations have a dedicated channel with the aggregator that is based on LoRa to enable long-range transmissions with low power consumption.Some details of the implementation aspects are described along with some preliminary results. The initial tests of the architecture indicated that is flexible and robust enough to provide a good platform for the deployment of advanced IoT services in contexts with limited resources. CCS CONCEPTS• Networks → Peer-to-peer protocols; Network architectures; • Information systems → Collaborative and social computing systems and tools.

show abstract

Section: Related Workmentioning

confidence: 99%

Fudge

Nakamura

Manzoni

Zennaro

et al. 2020

Proceedings of the 1st Workshop on Experiences With the Design and Implementation of Frugal Smart Objects

View full text Add to dashboard Cite

show abstract

Integrating an MQTT Proxy in a LoRa-Based Messaging System for Generic Sensor Data Collection

Nakamura

Manzoni

Zennaro

et al. 2020

Ad-Hoc, Mobile, and Wireless Networks

View full text Add to dashboard Cite

In this paper we combine smart computing with the frugal innovation approach to propose a "resourceful" solution, in terms of minimal utilization of resources and sustainability, to build a basic support for an IoT system in rural areas.Our system includes an MQTT proxy to integrate low-cost and low-power devices in a messaging system based on LoRa technology. LoRa technology provides long wireless links that can be used to connect villages and towns. Through a REST-based interface, we show how our platform can be used to distribute sensor information from rural communities. Moreover, MQTT allows these data to be provided to external "data lakes" so that they can be used for tasks such as reporting, visualization, advanced analytic, and machine learning.Finally, we demonstrate through experimental evaluation that this solution provides stable data transfers over links of various kilometers with a minimal utilization of resources.

show abstract