Prediction of energy consumption for LoRa based wireless sensors network

Nurgaliyev, Madiyar; Saymbetov, Ahmet; Yashchyshyn, Yevhen; Kuttybay, Nurzhigit; Tukymbekov, Didar

doi:10.1007/s11276-020-02276-5

Cited by 31 publications

(11 citation statements)

References 24 publications

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“…To assess energy consumption of the EPMD, a simplified energy consumption model is employed, which was derived from multiple sources on the calculation of GPRS [ 73 ], NB-IoT [ 22 , 74 , 75 ], LoRaWAN [ 22 , 76 , 77 , 78 ] and Sigfox [ 22 , 79 ] energy consumption. Simplifications are based on operational experience with the EPMD and recent publications including analysis and field testing of LPWAN sensors and monitoring devices [ 13 , 27 ].…”

Section: Methodsmentioning

confidence: 99%

Assessing the Potential of LPWAN Communication Technologies for Near Real-Time Leak Detection in Water Distribution Systems

Pointl

Fuchs-Hanusch

2021

Sensors

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While low-power wide-area network (LPWAN) technologies have been studied extensively for a broad spectrum of smart city applications, their potential for water distribution system monitoring in high temporal resolution has not been studied in detail. However, due to their low power demand, these technologies offer new possibilities for operating pressure-monitoring devices for near real-time leak detection in water distribution systems (WDS). By combining long-distance wireless communication with low power consumption, LPWAN technologies promise long periods of maintenance-free device operation without having to rely on an external power source. This is of particular importance for pressure-based leak detection where optimal sensor positions are often located in the periphery of WDS without a suitable power source. To assess the potential of these technologies for replacing widely-used wireless communication technologies for leak detection, GPRS is compared with the LPWAN standards Narrowband IoT, long-range wide area network (LoRaWAN) and Sigfox. Based on sampling and transmission rates commonly applied in leak detection, the ability of these three technologies to replace GPRS is analyzed based on a self-developed low-power pressure-monitoring device and a simplified, linear energy-consumption model. The results indicate that even though some of the analyzed LPWAN technologies may suffer from contractual and technical limitations, all of them offer viable alternatives, meeting the requirements of leak detection in WDS. In accordance with existing research on data transmission with these technologies, the findings of this work show that even while retaining a compact design, which entails a limited battery capacity, pressure-monitoring devices can exceed runtimes of 5 years, as required for installation at water meters in Austria. Thus, LPWAN technologies have the potential to advance the wide application of near real-time, pressure-based leak detection in WDS, while simultaneously reducing the cost of device operation significantly.

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Section: Methodsmentioning

confidence: 99%

Assessing the Potential of LPWAN Communication Technologies for Near Real-Time Leak Detection in Water Distribution Systems

Pointl

Fuchs-Hanusch

2021

Sensors

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“…XBee RF modules were chosen as wireless receiving and transmitting devices. Also, based on the ZigBee and LoRa wireless modules, research works were carried out for online monitoring of the photovoltaic system [7][8][9][10][11].…”

Section: Thematic Scope: Publication Of Priority Research In the Fielmentioning

confidence: 99%

Development of an Automated Photovoltaic System With Wireless Monitoring

Kuttybay¹,

Saymbetov²,

Tenizbayeva³

et al. 2021

News of NAS RK. SPh-M

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The work is devoted to the development of an efficient photovoltaic installation with automated wireless monitoring based on the LabView software. Long-distance communication technology - LoRa was used to wirelessly transmit data on the output characteristic states of the photovoltaic installation, storage battery and built-in sensors. This module operates at 433 MHz and transmits small data packets with low power consumption. This makes the stand-alone system energy efficient compared to similar wireless installations. The graphical software LabView was chosen to monitor the state of the developed system. The paper shows a block diagram of an automated wireless system, an operational algorithm of the external transmitting part of the installation, as well as electrical circuits of the transmitting and receiving control units. As a result of the work, a photovoltaic system with an automated wireless monitoring system and graphical data display was developed. The developed automated complex is more efficient and easy to use in comparison with other systems.

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“…To date, there are many works that describe in detail the consumption of network operation [15][16][17]. The articles [18][19] show the application of the method of forecasting network consumption with the probabilistic nature of sending data. This method can also be used to predict the consumption of the transmitting device with the probabilistic nature of the communication channel.…”

Section: Predicting the Lifetime Of Lora Based Wireless Sensor Networmentioning

confidence: 99%

Predicting the Lifetime of Lora Based Wireless Sensor Networks Using a Probabilistic Model of Markov Chains

Nurgaliyev¹,

Saymbetov²,

Zholamanov³

et al. 2021

News of NAN RK. SGTS

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Real-time monitoring systems and sensors are not complete without wireless data transmission modules. Improving energy efficiency requires examining various system parameters that affect the power consumption of transmitting and receiving devices. The most important parameter of any autonomous wireless network is its uptime. In this work, we used LoRa wireless modules on the SX1278 chip manufactured by Semtech to determine their power consumption in various operating modes. The obtained data were used to build a consumption model of the device when connected to a receiver. Three operating modes are considered: transmit mode, receive mode and sleep mode. In an ideal communication channel, all transmitted data reaches the receiver with 100% probability. In a real situation, data reaches the receiver with a certain probability, depending on the communication channel, transmission power, distance to the addressee, and network parameters. In this work, the occurrence of an error is random. In this case, the occurrence of an error during reception entails a lack of confirmation of receipt or a request for re-sending data. Sending data again increases the power consumption of the device and, consequently, decreases the operating time of the wireless device. This paper shows the dependences of the operating time on various initial monitored parameters of the device, such as: confirmation timeout, packet length, time of one transmission cycle and the maximum number of retransmissions in one cycle. The developed model for predicting the consumption of the device can be used in the design of autonomous wireless sensor monitoring networks.

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Prediction of energy consumption for LoRa based wireless sensors network

Cited by 31 publications

References 24 publications

Assessing the Potential of LPWAN Communication Technologies for Near Real-Time Leak Detection in Water Distribution Systems

Assessing the Potential of LPWAN Communication Technologies for Near Real-Time Leak Detection in Water Distribution Systems

Development of an Automated Photovoltaic System With Wireless Monitoring

Predicting the Lifetime of Lora Based Wireless Sensor Networks Using a Probabilistic Model of Markov Chains

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