LoRa-based IoT Network Planning for Advanced Metering Infrastructure in Urban, Suburban and Rural Scenario

Bagariang, Yosia; Nashiruddin, Muhammad Imam; Adriansyah, Nachwan Mufti

doi:10.1109/isriti48646.2019.9034583

Cited by 17 publications

(9 citation statements)

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“…For network planning, the authors of Ref. [5] presented a framework for network and capacity planning that takes into consideration parameters such as link budget (Okumura-Hata model), number of gateways, area/surface to cover (in numbers), and cell size. Given that the scope of application is theoretically applied to a case study in a specific city, the work did not consider a simulation or performance evaluation of the proposed solution.…”

Section: Related Workmentioning

confidence: 99%

“…Considering IoT architectures, and as AMI networks are a particular case, the AMI network must achieve two main goals [5]: efficient communication (i.e., massive connectivity) and defense against environmental conditions. The capabilities of LoRa wireless scheme, shown in Ref.…”

Section: Related Workmentioning

confidence: 99%

“…Advanced metering infrastructure (AMI) represents the first step towards smart grid as they provide the necessary infrastructure to support wide system measurement and visibility [3]. Automatic communication between customers and utilities [4], reduced tampering [5] and enabling customers to respond to their expectations to manage and generate their own electricity [6] are among the direct benefits of the smart grid infrastructure. However, with advances in wireless technologies, a knowledge gap in the analysis of the capability of recent technologies to support multiple applications of the AMI system is identified [7].…”

Section: Introductionmentioning

confidence: 99%

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LoRa IoT-Based Architecture for Advanced Metering Infrastructure in Residential Smart Grid

2021

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Internet of Things (IoT) technologies are opening new opportunities and services for different smart grid applications such as advanced meter infrastructures (AMI), distributed energy resources, and electric vehicles. Among these applications, AMIs represent the first step toward future smart grid implementation by enabling the reading and recording of electric power consumption on request or a schedule. In this study, the main focus is designing an IoT-based architecture to support AMIs' daily reporting and billing in a residential grid. First, the network modeling for AMI is discussed. Long range (LoRa) technology, as one of the promising candidates for long range low power wide area networks (LPWANs), has been studied and discussed. A comprehensive analysis of the LoRa-based architecture is given for a case study of an actual residential grid, Puerto Montt, Chile. The results are analyzed and discussed for packet delivery ratio, energy consumption, throughput, number of collisions, and frequency distribution.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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LoRa IoT-Based Architecture for Advanced Metering Infrastructure in Residential Smart Grid

2021

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“…T HE Internet of Things (IoT) is rapidly growing with more than 20 billion devices expected to be connected in the next 5 years, including more than 2 billion connected through Low Power Wide Area Networks (LPWAN) [1]. Many applications, such as smart metering [2], [3], parking space monitoring [4], [5], building monitoring [6], and smart agriculture [7], [8] require low power operations and wide communication coverage. LPWAN provides a good solution for such requirements and LoRa is one of those protocols which can enable such methods.…”

Section: Introductionmentioning

confidence: 99%

Multiuser Detection for Downlink Communication in LoRa- Like Networks

Tesfay

Simon²,

Nevat³

et al. 2020

IEEE Access

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Internet of Things (IoT) technology has become ubiquitous in a multitude of applications and its use is growing. However, the expansion of IoT faces a major difficulty: scalability, that is, very dense deployment of communicating devices is currently limited. In long-range networks, such as LoRa, the downlink is critical because it limits the number of acknowledgements that can be sent, and consequently reliability. It also limits the possibility to update the devices, which could be critical when they are deployed for decades. To overcome those problems, we propose a solution, inspired by Non Orthogonal Multiple Access (NOMA) techniques, to increase by at least one order of magnitude the number of devices that can be addressed. While the approach differentiates the devices by the power allocated to them, it differs from the vast majority of previous works on power domain NOMA because it does not require interference cancellation. Instead, it benefits from the spectrum spreading of the modulation scheme (chirp spread spectrum), where, at the end of the decoding phase, the information carried by a symbol is found in the position of a peak in the Fourier domain. In the vast majority of cases, the information from different users results in different peak positions, not creating any interference. In that sense, we get closer to avoidance schemes such as time or frequency hopping, but without using a code. In this paper, we propose a new solution for NOMA in the power domain that does not suffer from the limitations induced by interference cancellation residues. The proposed system, including preamble detection and channel estimation, is presented and evaluated by simulations. We demonstrate that our proposed scheme increases the number of devices by one order of magnitude compared to the current system which allows addressing only one user at a time and maintains full compatibility with the LoRa physical layer standard.

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“…For instance, Wibisono et al (2017) conducted the techno economic analysis of LoRaWAN for Smart Meter in PLN Bali. Bagariang et al (2019) who carried out the planning and the simulation of the LoRaWAN network implementation for smart electricity meter, smart gas meter, and smart water meter in three different geographical types, namely Urban, Sub Urban and Rural areas. Another research has been performed by Purnama & Nashiruddin (2019) to explore the LoRaWAN network deployment for smart electricity, gas, water meter and gasoline meter for Surabaya, Gresik and Sidoarjo Cities.…”

Section: Introductionmentioning

confidence: 99%

LPWA-based IoT Technology Selection for Smart Metering Deployment in Urban and Sub Urban Areas: A State Electricity Company Perspective

Hidayati

Nashiruddin

2020

bul. pos. dan telekomun.

Self Cite

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The need for LPWA-based Internet of Things (IoT) technology for deploying smart metering services is rapidly growing for its ability to manage energy usage in real-time and increase efficiency. However, the problem faced by electric utility companies is how to choose the most appropriate technology. This study uses a techno-economic approach to compare the two most widely used technological alternatives, namely establishing LoRaWAN as a non-licensed LPWA technology or leasing NB-IoT as a licensed LPWA technology owned by a telecommunications operator. Case studies conducted in the urban area of Bandung and sub-urban city of Tasikmalaya as an example of a typical town in Indonesia. The results showed that LoRaWAN and NB-IoT are both technically and business feasible to be implemented with their respective advantages. LoRaWAN is superior in battery lifetime, business model, speed of implementation, and total costs, whereas NB-IoT is superior in range, capacity, quality of service, security, and ecosystem support. Using PLN's perspective as a national electricity company in Indonesia, LoRaWAN has a Net Present Value of 23% higher than NB-IoT in the 10 th year.

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LoRa-based IoT Network Planning for Advanced Metering Infrastructure in Urban, Suburban and Rural Scenario

Cited by 17 publications

References 9 publications

LoRa IoT-Based Architecture for Advanced Metering Infrastructure in Residential Smart Grid

LoRa IoT-Based Architecture for Advanced Metering Infrastructure in Residential Smart Grid

Multiuser Detection for Downlink Communication in LoRa- Like Networks

LPWA-based IoT Technology Selection for Smart Metering Deployment in Urban and Sub Urban Areas: A State Electricity Company Perspective

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