WaterGrid-Sense: A LoRa-Based Sensor Node for Industrial IoT Applications

Khutsoane, Oratile; Isong, Bassey; Gasela, Naison; Abu‐Mahfouz, Adnan M.

doi:10.1109/jsen.2019.2951345

Cited by 37 publications

(20 citation statements)

References 18 publications

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“…Other LoRaWAN studies for water quality monitoring were carried out due to its long-range data transmission in difficult terrains and low power consumption rate, as proposed by Jorge et al [12]. For instance, Lake Dardanelle in the United States [13], the Facilities of South Africa Council for Scientific and Industrial Research (CSIR) [14], and Dong Lake in National Dong Hwa University China [15] have all been used as test beds for LoRaWAN technology with regard to various characteristics of water quality monitoring.…”

Section: Related Literature and Contributionmentioning

confidence: 99%

Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

2021

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Recently, Internet of Things (IoT) deployments have shown their potential for aiding the realisation of the Sustainable Development Goals (SDGs). Concerns regarding how the IoT can specifically drive SDGs 6, 11 and 9 in developing countries have been raised with respect to the challenges of deploying licensed and unlicensed low-power wide area network (LPWAN) IoT technologies and their opportunities for IoT consumers and service providers. With IoT infrastructure and protocols being ubiquitous and each being proposed for different SDGs, we review and compare the various performance characteristics of LoRaWAN and NB-IoT networks. From the performance analysis of our networks, NB-IoT, one of the standardised promising cellular IoT solutions for developing countries, is more expensive and less energy-efficient than LoRaWAN. Utilising the same user equipment (UE), NB-IoT consumed an excess of 2 mAh of power for joining the network and 1.7 mAh more for a 44-byte uplink message compared to LoRaWAN. However, NB-IoT has the advantage of reliably and securely delivering higher network connection capacity in IoT use cases, leveraging existing cellular infrastructure. With a maximum throughput of 264 bps at 837 ms measured latency, NB-IoT outperformed LoRaWAN and proved robust for machine-type communications. These findings will help IoT consumers and service providers understand the performance differences and deployment challenges of NB-IoT and LoRaWAN and establish new research directions to tackle IoT issues in developing countries. With Nigeria as a case study, for consumers and organisations at a crossroads in their long-term deployment decisions, the proposed LPWAN integrated architecture is an example of the deployment opportunities for consumer and industrial IoT applications in developing countries.

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Section: Related Literature and Contributionmentioning

confidence: 99%

Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

2021

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“…There are several different solutions to data transmission. The most common technologies in the area of smart measuring systems and long-distance data transmission include the LoraWAN [45][46][47], Sigfox [48,49] or NB-IoT technologies [34,50]. These technologies are compared in [51], where their benefits and shortcomings are discussed.…”

Section: Related Work and Solutionsmentioning

confidence: 99%

An Integrated IoT Architecture for Smart Metering Using Next Generation Sensor for Water Management Based on LoRaWAN Technology: A Pilot Study

Slaný

Lucansky

Koudelka

et al. 2020

Sensors

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This pilot study focuses on the design, implementation, optimization and verification of a novel solution of smart measuring of water consumption and crisis detection leading to a smart water management platform. The system implemented consists of a modular IoT platform based on a PCB (Printed Circuit Board) design using the M2.COM standard, a LoraWAN modem and a LoraWAN gateway based on the Raspberry Pi platform. The prototype is modular, low-cost, low-power, low-complex and it fully reflects the requirements of strategic technological concepts of Smart City and Industry 4.0, i.e., data integration, interoperability, (I)IoT, etc. The study was produced in cooperation with M.I.S Protivanov and VODARENSKA AKCIOVA SPOLECNOST, a.s. (industry partners distributing drinking water in the Olomouc and South-Moravian regions) to depict the current situation in the Czech Republic, characterized by extreme weather fluctuations and increasingly frequent periods of drought. These drinking water distributors are also constantly placing new demands on these smart solutions. These requirements include, above all, reliability of data transmission, modularity and, last but not least, low cost. However, smart water management (water consumption, distribution, system identification, equipment maintenance, etc.) is becoming an important topic worldwide. The functionality of the system was first verified in laboratory conditions and, then, in real operation. The study also includes checking signal propagation in the municipal area of the village of Zdarna, where the radius of the proposed measuring system was tested. A laboratory test with simulation of water leakage is also part of this work. Subsequently, the system was tested in a residential unit by means of water leakage detection using the MNF method (minimum night flow); the detection success rate was 95%.

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“…Wireless sensors have been extensively employed for monitoring applications due to their potential reliability and scalability over limited-access areas [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. To enable wireless sensors in IoT [18] to sense the surrounding environment over a wide frequency spectrum, integrated sensing circuits composed of magnetic [19], thermal [20], visual [21], infrared [22], and acoustic [23] radars are embedded in them.…”

Section: Introductionmentioning

confidence: 99%

Low-Power Beam-Switching Technique for Power-Efficient Collaborative IoT Edge Devices

Park

2021

Applied Sciences

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Collaborative beamforming (CB) enables uplink transmission in a wireless sensor network (WSN) composed of sensors (nodes) and far-away access points (APs). It can also be applied to the case where the sensors are equipped with beam-switching structures (BSSs). However, as the antenna arrays of the BSSs are randomly headed due to the irregular mounting surface, some sensors form beams that do not illuminate a desired AP and waste their limited energy. Therefore, to resolve this problem, it is required to switch the beams toward the desired AP. While an exhaustive search can provide the globally optimal combination, a greedy search (GS) is utilized to solve this optimization problem efficiently. Simulation and experimental results verify that under certain conditions the proposed algorithm can drive the sensors to switch their beams properly and increase the received signal-to-noise ratio (SNR) significantly with low computational complexity and energy consumption.

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WaterGrid-Sense: A LoRa-Based Sensor Node for Industrial IoT Applications

Cited by 37 publications

References 18 publications

Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

An Integrated IoT Architecture for Smart Metering Using Next Generation Sensor for Water Management Based on LoRaWAN Technology: A Pilot Study

Low-Power Beam-Switching Technique for Power-Efficient Collaborative IoT Edge Devices

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