MAC Protocol Design for Smart Meter Network

Yang, Yuexiang

doi:10.5772/62392

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Low-power wide area network of the IoT, including WiFi, ZigBee, Bluetooth, and long range (LoRa), provides the technical support for the development of indoor environment monitoring. 8 An indoor environmental monitoring system based on WiFi is recently introduced. 9 This system employs Arduino as the main control chip, which collects indoor environmental information including temperature, humidity, and light intensity.…”

Section: Introductionmentioning

confidence: 99%

A LoRaWAN monitoring system for large buildings based on embedded edge computing in indoor environment

Shen

Zhang

Liu

et al. 2021

Concurrency and Computation

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At present, the influence of the surrounding environment on the health of humans is attracting increasing attention, and the indoor environment plays a significant role in people's health. Therefore, it is necessary to effectively monitor indoor environments in real time. With the increase of end-devices, the rapid growth of data is exerting a pressure on the network bandwidth. To solve this problem, a LoRaWAN monitoring system for indoor environments based on embedded edge computing is proposed here. A hardware architecture of end-devices and the workflow of the LoRaWAN gateway are designed. In the gateway, edge computing is applied to manage the integrated access device and clean data. The experimental results show that the data reduction rate increased obviously after using edge computing. The environmental data can be transmitted in real time, and the communication efficiency of the system can be improved.

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Section: Introductionmentioning

confidence: 99%

A LoRaWAN monitoring system for large buildings based on embedded edge computing in indoor environment

Shen

Zhang

Liu

et al. 2021

Concurrency and Computation

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“…Another approach is to use a dedicated network. For industrial applications, wired network technology is preferred, such as: AS-Interface, CAN, Data highway 485, DeviceNet, EIA/TIA 232, EIA 485, Foundation fieldbus, HART, Industrial real-time ethernet, Modbus, Profinet/Profibus [2,7,8,9]. Such network technologies are designed for local area or campus wide networks and the cable technology used can be expensive.…”

Section: Introductionmentioning

confidence: 99%

Bucket-brigade Inspired Power Line Network Protocol for Sensed Quantity Profile Acquisition with Smart Sensors Deployed as a Queue in Harsh Environment

Santos

2021

JICS

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Pressure and temperature profile are key data for safe production in oil and gas wells. In this paper, a bucket-brigade inspired sensor network protocol is proposed which can be used to extract sensed data profile from the nanoscale up to kilometer long structures. The PHY/MAC layers are discussed. This protocol is best suited for low data rate exchanges in small fixed-size packets, named buckets, transmitted as time-domain bursts among high-precision smart sensors deployed as a queue. There is only one coordinator, which is not directly accessible by most of the sensor nodes. The coordinator is responsible for collecting the measurement profile and send it to a supervisory node. There is no need for complex routing mechanism, as the network topology is determined during deployment. There are many applications which require sensors to be deployed as a long queue and sensed data could be transmitted at low data rates. Examples of such monitoring applications are: neural connected artificial skin, oil/gas/water pipeline integrity, power transmission line tower integrity, (rail)road/highway lighting and integrity, individualized monitoring in vineyard or re-foresting or plantation, underwater telecommunications cable integrity, oil/gas riser integrity, oil/gas well temperature and pressure profile, among others. For robustness and reduced electromagnetic interference, wired network is preferred. Besides in some harsh environment wireless is not feasible. To reduce wiring, communications can be carried out in the same cable used to supply electrical power.

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QoS-Aware Cost Minimization Strategy for AMI Applications in Smart Grid Using Cloud Computing

Khan

Umar

Shirazi

et al. 2022

Sensors

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Cloud computing coupled with Internet of Things technology provides a wide range of cloud services such as memory, storage, computational processing, network bandwidth, and database application to the end users on demand over the Internet. More specifically, cloud computing provides efficient services such as “pay as per usage”. However, Utility providers in Smart Grid are facing challenges in the design and implementation of such architecture in order to minimize the cost of underlying hardware, software, and network services. In Smart Grid, smart meters generate a large volume of different traffics, due to which efficient utilization of available resources such as buffer, storage, limited processing, and bandwidth is required in a cost-effective manner in the underlying network infrastructure. In such context, this article introduces a QoS-aware Hybrid Queue Scheduling (HQS) model that can be seen over the IoT-based network integrated with cloud environment for different advanced metering infrastructure (AMI) application traffic, which have different QoS levels in the Smart Grid network. The proposed optimization model supports, classifies, and prioritizes the AMI application traffic. The main objective is to reduce the cost of buffer, processing power, and network bandwidth utilized by AMI applications in the cloud environment. For this, we developed a simulation model in the CloudSim simulator that uses a simple mathematical model in order to achieve the objective function. During the simulations, the effects of various numbers of cloudlets on the cost of virtual machine resources such as RAM, CPU processing, and available bandwidth have been investigated in cloud computing. The obtained simulation results exhibited that our proposed model successfully competes with the previous schemes in terms of minimizing the processing, memory, and bandwidth cost by a significant margin. Moreover, the simulation results confirmed that the proposed optimization model behaves as expected and is realistic for AMI application traffic in the Smart Grid network using cloud computing.

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MAC Protocol Design for Smart Meter Network

Cited by 4 publications

References 16 publications

A LoRaWAN monitoring system for large buildings based on embedded edge computing in indoor environment

A LoRaWAN monitoring system for large buildings based on embedded edge computing in indoor environment

Bucket-brigade Inspired Power Line Network Protocol for Sensed Quantity Profile Acquisition with Smart Sensors Deployed as a Queue in Harsh Environment

QoS-Aware Cost Minimization Strategy for AMI Applications in Smart Grid Using Cloud Computing

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