Low-Cost Sensor-Based and LoRaWAN Opportunities for Landslide Monitoring Systems on IoT Platform: A Review

Bagwari, Swapnil; Gehlot, Anita; Singh, Rajesh; Priyadarshi, Neeraj; Khan, Baseem

doi:10.1109/access.2021.3137841

Cited by 64 publications

(28 citation statements)

References 147 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Wireless communication technologies became preferred for many years due to their advantages (no wires, big distances, standalone) [21]. However, in the case of geothermal energy, various limiting factors should be considered, such as the total amount of generated energy, communication distances, IoT node consumption, different shield platform, total cost, technology availability, and environmental conditions [22]. Error!…”

Section: Sustainable and Reliable Internet Of Thingsmentioning

confidence: 99%

“…IoT monitoring technologies in renewable energy are expected to increase due to their low cost, efficiency and sustainability. Moreover, these solutions offer advantages in remote areas where they can collect important data for many years for necessary analysis [22].…”

Section: Sustainable and Reliable Internet Of Thingsmentioning

confidence: 99%

“…<127 kbps [23] <250 kbps [21] <100 [22], [23] 35 [21] 14/23 dBm @ 74 -220 mA [22], [23] SIM7020E-NB-IoT-HAT # ; XBee # SIM7020E; SARA-R4 # ; XBee # LoRaWAN <50 kbps [21], [23] 2 -18 km [22], [23] 15 km [24] 14/22 -30/20 dBm @ 28 mA [23] 14/27 dBm @ <28 mA [22] WizzKit # LORA-E5 # ; SX1276 # SigFox 0,1 kbps [24] 600 bps [23] 10 -50 km [22]- [24] 14/22/30 dBm @ 10 -50 mA [23] 12 -14 dBm @ 10 -50 mA [22] WizzKit # ZigBee <250 kbps [25] 10 -100 m [21] 291 m [25]; 300 m [24] 0 dBm @ 9,3 mA [26] 0 dBm @ <30 mA [25] CC2652P # ; XBee # CC2530 # ; XBee # ; QPG7015M # IQRF <20 kbps [24], [25] <1 km [25] <11 dBm @ 8,3 -19 mA…”

Section: Nb-iotmentioning

confidence: 99%

See 2 more Smart Citations

Low-power Renewable Possibilities for Geothermal IoT Monitoring Systems

Byrtus

Hercík

Dohnal

et al. 2022

2022 11th International Conference on Renewable Energy Research and Application (ICRERA)

View full text Add to dashboard Cite

Nowadays, humanity is facing a difficult challenge focused on the sustainability of further years. One of the major ways is the usage of renewable energy as a sustainable and reliable source of electric power. This trend is also obvious in the field of the Internet of Things, where research teams are increasingly focusing on renewable energy and its improvement. This paper aims to map current research on the use of renewable resources on the Internet of Things with a focus on use in geothermal applications. Information concerning renewable energy sources and individual IoT platforms is summarized.

show abstract

Section: Sustainable and Reliable Internet Of Thingsmentioning

confidence: 99%

Section: Sustainable and Reliable Internet Of Thingsmentioning

confidence: 99%

Section: Nb-iotmentioning

confidence: 99%

See 1 more Smart Citation

Low-power Renewable Possibilities for Geothermal IoT Monitoring Systems

Byrtus

Hercík

Dohnal

et al. 2022

2022 11th International Conference on Renewable Energy Research and Application (ICRERA)

View full text Add to dashboard Cite

show abstract

“…A smart streetlight that can autonomously modify light intensity, act as a wireless fidelity (Wi-Fi) and show weather information, traffic signs, electrical vehicle (EV) charging, video surveillance, and solarpowered energy are now possible because of advances in sensor and LoRa-IoT communication technologies [13] that enable us to access sensor data on the server on the environment, traffic, number of cars, and pedestrians crossing the street light [14]. With the motivation from these aspects, this study proposes a LoRa and IoT server-based architecture [15]- [17] for controlling the streetlight. The main contribution of the study is as follows: i) proposed a LoRa and IoT server-based architecture for automation and controlling of streetlights, ii) the hardware implementation of the proposed architecture is realized in real-time, iii) the sensor values of the LDR sensor are logged on the IoT server, and iv) for establishing the link between the smart streetlights and IoT server, LoRa is coupled with a Wi-Fi module.…”

Section: Introductionmentioning

confidence: 99%

Long range and server inspired internet of smart street lights

Singh

Krishna²,

Kumar³

et al. 2023

Bulletin EEI

View full text Add to dashboard Cite

Currently, the integration of long-range (LoRa) and the internet of things (IoT) has been widely adopted in various applications for real-time monitoring with reliability. These technologies empower us to achieve the goal of the United Nations for the establishment of an inclusive, safe, resilient, and sustainable environment. The automation, monitoring, and controlling of streetlights is a necessary task for the development of smart infrastructure. With the motivation from the above, this study proposed a LoRa and IoT server-based architecture for automation and controlling of streetlights along with sensors. To implement the proposed architecture, the hardware of the sensor node and gateway based on ATMega 328P, 433 MHz LoRa module, and Wi-Fi module is realized. The realized hardware is deployed in the real-time environment and the sensor node can sense the motion of the object and also records the intensity value on the server through internet connectivity.

show abstract

“…Therefore, it is necessary to provide regular early warning in areas where RIGHs occur potentially or frequently. To this end, a series of Internet of Things (IoT)-based remote methodologies, such as radio-frequency identification, ultrasonic detection, and satellite monitoring, have been developed. − Nevertheless, RIGHs usually occur in unpopulated areas or informal settlements. As a result, the above techniques, which are expensive and complex, have rarely been implemented in such areas.…”

Section: Introductionmentioning

confidence: 99%

Transpiration-Driven Electrokinetic Power Generator for Early Warning and Forecast of Geological Seepage

Wen

Ren

Ling

2023

ACS Appl. Electron. Mater.

View full text Add to dashboard Cite

Water-seepage-induced geological hazards often cause substantial economic losses, human mortality, and environmental damage. Nevertheless, the available water seepage early warning system (WSEWS) still needs much improvement. In this work, a WSEWS is proposed which uses a transpiration-driven electrokinetic power generator (TEPG) that utilizes a MoS2-functionalized filter paper as the warning sensor. The strong and appropriate water absorption of the filter paper endows the WSEWS with an early warning time resolution on the scale of seconds. In addition, the pseudostreaming mechanism of the TEPG enables the WSEWS to clearly distinguish water seepage from conventional humidity changes, thus preventing the triggering of false alarms caused by such changes. Moreover, it provides the WSEWS with the ability to monitor seepage with a trace amount of water (e.g., 2 μL of water). These merits confirm the application potential of TEPG-based WSEWS in the early warning of rainfall-induced geological hazards at mines, unpopulated areas, and informal settlements.

show abstract

Low-Cost Sensor-Based and LoRaWAN Opportunities for Landslide Monitoring Systems on IoT Platform: A Review

Cited by 64 publications

References 147 publications

Low-power Renewable Possibilities for Geothermal IoT Monitoring Systems

Low-power Renewable Possibilities for Geothermal IoT Monitoring Systems

Long range and server inspired internet of smart street lights

Transpiration-Driven Electrokinetic Power Generator for Early Warning and Forecast of Geological Seepage

Contact Info

Product

Resources

About