Infrastructure for Integration of Legacy Electrical Equipment into a Smart-Grid Using Wireless Sensor Networks

Araújo, Paulo Régis C. de; Filho, Raimir Holanda; Rodrigues, Joel J. P. C.; Oliveira, João Paolo C. M.; Braga, Stéphanie Alencar

doi:10.3390/s18051312

Cited by 26 publications

(15 citation statements)

References 46 publications

(47 reference statements)

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“…There is a growing interest in smart metering applications [6], that have initially focused on the energy [7] and gas [8] utility markets, which deal with the more expensive resources. Recently, a growing interest has focused on smart metering of water consumption [5].…”

Section: Introductionmentioning

confidence: 99%

Wireless Middleware Solutions for Smart Water Metering

Alvisi

Casellato

Franchini

et al. 2019

Sensors

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While smart metering applications have initially focused on energy and gas utility markets, water consumption has recently become the subject of increasing attention. Unfortunately, despite the large number of solutions available on the market, the lack of an open and widely accepted communication standard means that vendors typically propose proprietary data collection solutions whose adoption causes non-trivial problems to water utility companies in term of costs, vendor lock-in, and lack of control on the data collection infrastructure. There is the need for open and interoperable smart water metering solutions, capable of collecting data from the wide range of water meters on the market. This paper reports our experience in the development and field testing of a highly interoperable smart water metering solution, which we designed in collaboration with several water utility companies and which we deployed in Gorino Ferrarese, Italy, in collaboration with CADF (Consorzio Acque Delta Ferrarese), the water utility serving the city. At the core of our solution is SWaMM (Smart Water Metering Middleware), an interoperable wireless IoT middleware based on the Edge computing paradigm, which proved extremely effective in interfacing with several types of smart water meters operating with different protocols.

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Section: Introductionmentioning

confidence: 99%

Wireless Middleware Solutions for Smart Water Metering

Alvisi

Casellato

Franchini

et al. 2019

Sensors

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“…The information of all the meters is stored in the DCU and subsequently shown on a display when the relevant position is clicked. The infrastructure introduced by Paulo Régis C. De Araújo et al [41]. in their work 'Infrastructure for Integration of Legacy Electrical Equipment into Smart-Grid Using Wireless Sensor Networks' proposes a system where individual legacy electrical devices are integrated to be connected to a sensor node and the sink node links it with a Smart Grid using an appropriate communication protocol.…”

Section: Related Researchmentioning

confidence: 99%

“…Block diagram for experimental setting.The infrastructure introduced by Paulo Régis C. De Araújo et al[41]. in their work 'Infrastructure for Integration of Legacy Electrical Equipment into Smart-Grid Using Wireless Sensor Networks' proposes a system where individual legacy electrical devices are integrated to be…”

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confidence: 99%

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Park

2020

Sustainability

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Since power line communication (PLC) technology has been considered a platform technology for smart metering, this study introduces an analogous system technology for the PLC-based monitoring systems in zero energy building management. This technology allows a system operator or an operation center to monitor, calculate, or manage power use remotely through the existing power line so that individual suppliers will be able to grasp the present condition of power use and respond to any unexpected incidents. As in any country, many old buildings in Korea are repaired to be used for 40–50 years or even longer since constructing new ones is expensive. Because remodeling old buildings is not only expensive but also generates construction waste, repairing is the preferred alternative in many cases. With the expectation that the proposed platform technology will be one of the promising technologies for sustainable building, its uninterrupted power usage monitoring and remote power control/management functions will be quite useful for economizing power with convenience. A system with such a PLC-based design and algorithm can be quite scalable as well. As the major contribution of this study, a solution suitable for decrepit buildings or apartments has been developed by using the PLC technology, and the test bed experiment was conducted for it. The result showed that the solution worked flexibly and efficiently. Since it is impossible to install a new network especially in the case of decrepit buildings, PLC must be used through the existing power line. Thus, a decrepit building monitoring system has been proposed in this study for a sustainable building. The proposed solution was simulated with OPNET simulation first. Following the mounting of the actual PLC product and development of a monitoring application to complete the platform/solution, it is being tested at the test bed in a decrepit building.

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“…They communicate with each other in a multihop and self-organization manner through wireless radio. In the current development situation, WSNs have found wide research applications in intelligent life [1][2][3][4], industrial and agricultural production [5][6][7][8], disaster prevention and control [9][10][11], military applications [12], etc. In many applications, WSNs play an irreplaceable role.…”

Section: Background and Motivationmentioning

confidence: 99%

Multiparameter Fusion Decision Routing Algorithm for Energy-Constrained Wireless Sensor Networks

Yan

Cai

et al. 2020

Applied Sciences

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For energy-limited wireless sensor networks (WSNs), we propose a multiparameter fusion decision routing (MPFDR) algorithm in this study. This algorithm gives a comprehensive account of the residual energy and forward distance, single-hop transmission ratio, cache queue, and energy equilibrium degree. It calculates the routing evaluation parameters of the forward neighbors, realizing a multidirectional reflection of the network status. Simultaneously, combined with the defined routing selection strategy based on the parameter contribution degree and fuzzy contribution degree, the fusion contribution degree of each forward neighbor is obtained. Then, the node with the most considerable fusion contribution degree is selected as the next hop. Finally, the performance of the MPFDR algorithm is simulated and compared with other algorithms. Simulation results indicate that our algorithm has good congestion control ability in energy-limited wireless sensor networks and can significantly reduce the packet loss rate and average hops.

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Infrastructure for Integration of Legacy Electrical Equipment into a Smart-Grid Using Wireless Sensor Networks

Cited by 26 publications

References 46 publications

Wireless Middleware Solutions for Smart Water Metering

Wireless Middleware Solutions for Smart Water Metering

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Multiparameter Fusion Decision Routing Algorithm for Energy-Constrained Wireless Sensor Networks

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