Smart Meter Data Collection Using Public Taxis

Ngandu, Kabeya Gilbert; Ouahada, Khmaies; Rimer, Suvendi

doi:10.3390/s18072304

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Energy measurements as frequent as in urban areas may not be feasible but it will be anyway a considerable improvement compared to the MMR case, currently adopted in almost all rural areas. Moreover, in the data mule solution, UAVs can be easily moved through different environments, but different moving objects can be also employed for this purpose, such as cars, taxis, and busses, as has been already proposed in other data communication initiatives [ 77 , 78 , 79 , 80 ].…”

Section: Possible Smart Metering System Evolutionmentioning

confidence: 99%

A Possible Smart Metering System Evolution for Rural and Remote Areas Employing Unmanned Aerial Vehicles and Internet of Things in Smart Grids

Gaggero

Marchese

Moheddine

et al. 2021

Sensors

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The way of generating and distributing energy throughout the electrical grid to all users is evolving. The concept of Smart Grid (SG) took place to enhance the management of the electrical grid infrastructure and its functionalities from the traditional system to an improved one. To measure the energy consumption of the users is one of these functionalities that, in some countries, has already evolved from a periodical manual consumption reading to a more frequent and automatic one, leading to the concept of Smart Metering (SM). Technology improvement could be applied to the SM systems to allow, on one hand, a more efficient way to collect the energy consumption data of each user, and, on the other hand, a better distribution of the available energy through the infrastructure. Widespread communication solutions based on existing telecommunication infrastructures instead of using ad-hoc ones can be exploited for this purpose. In this paper, we recall the basic elements and the evolution of the SM network architecture focusing on how it could further improve in the near future. We report the main technologies and protocols which can be exploited for the data exchange throughout the infrastructure and the pros and cons of each solution. Finally, we propose an innovative solution as a possible evolution of the SM system. This solution is based on a set of Internet of Things (IoT) communication technologies called Low Power Wide Area Network (LPWAN) which could be employed to improve the performance of the currently used technologies and provide additional functionalities. We also propose the employment of Unmanned Aerial Vehicles (UAVs) to periodically collect energy consumption data, with evident advantages especially if employed in rural and remote areas. We show some preliminary performance results which allow assessing the feasibility of the proposed approach.

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Section: Possible Smart Metering System Evolutionmentioning

confidence: 99%

A Possible Smart Metering System Evolution for Rural and Remote Areas Employing Unmanned Aerial Vehicles and Internet of Things in Smart Grids

Gaggero

Marchese

Moheddine

et al. 2021

Sensors

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show abstract

“…In recent years, due to the large-scale creation of high-voltage posts in several parts of the country, an increase in the number of electricity market automated meters as well as the need for constant and rapid monitoring of energy in the industry, the activity of the office of the electricity market in regional power companies has become more important than the past [1]. Installed meters in all posts should be measured and read daily and the data required by the appropriate telecommunication platform should be sent to the electricity market office in the regional electricity companies [2]. The office should also submit a daily report of its processed data to the Iranian power grid.…”

Section: Introductionmentioning

confidence: 99%

Remote reading of electricity meters using PLC

Ahmadi¹,

Jahromi²

2020

Bulletin EEI

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The telecommunications platforms of the electricity industry, including optical fiber, wireless, radio and microwave, despite providing sufficient bandwidth to transmit power market data, have limitations and disadvantages that are particularly apparent in remote suburban areas. PLC technology provides such facilities relatively. So this paper aim is providing practical solutions for the transmission of electricity market meters data through this type of PLC. This paper examines how to transfer the data from the electricity market to the central server using a PLC telecommunications platform and a practical example at 132 kV. In this case, the appropriate option is PLC. In this paper, it has been shown that there is the possibility of sending market data onto the PLC platform in transient and over- voltage transmission lines, which so far seemed to be impractical. With the comprehensive implementation of this work in the country's electricity industry, especially regional electricity, a major step will be taken to create a smart grid for meter readings. Due to the successful outcome of the experiment, it is possible to easily connect the PLC, the availability of this platform in many posts, a large and new smart grid for reading electricity meter readings.

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Data Collection Method of Energy Adaptive Distributed Wireless Sensor Networks Based on UAV

Yang

Bai

Zhang

2022

Wireless Communications and Mobile Computing

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In sensor networks, UAVs are often introduced to assist data collection tasks. UAVs can operate as data ferry nodes, connecting distributed areas that are separated from each other. This paper proposes a data collection method for distributed wireless sensor networks based on UAV and introduces the idea of edge computing in it. In the single-hop transmission scenario, the K -means++ clustering method is used for sensor node clustering and cluster head election in the initial state. In the next rounds of data collection, UAV is used to assist in the election of new cluster heads and data collection tasks, taking into account the relative distance and the relative remaining energy relationship of the sensor nodes in their clusters. In addition, reasonable priorities are set for some nodes that have never been elected in the previous rounds and for the dead nodes. In the multihop transmission scenarios, for nodes that cannot deliver directly, the optimal relay node is selected for routing by comprehensively considering factors such as transmission angle, transmission distance, and remaining energy of the node in each cluster. The method proposed in this paper coordinates the overall energy consumption of sensor nodes in the environmental monitoring area, delays the death time of key sensor nodes, and extends the network lifetime. At the same time, an improved ACO is used to reasonably plan the data collection path of the UAV. Compared with the comparison scheme, the improved ACO can obtain a better shortest path length and has the fastest convergence speed when reaching the shortest path.

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Smart Meter Data Collection Using Public Taxis

Cited by 3 publications

References 14 publications

A Possible Smart Metering System Evolution for Rural and Remote Areas Employing Unmanned Aerial Vehicles and Internet of Things in Smart Grids

A Possible Smart Metering System Evolution for Rural and Remote Areas Employing Unmanned Aerial Vehicles and Internet of Things in Smart Grids

Remote reading of electricity meters using PLC

Data Collection Method of Energy Adaptive Distributed Wireless Sensor Networks Based on UAV

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