scholarly journals Development of Low-Power Wide-Area Communication Gateway for Power Data Transmission

2021 ◽  
Vol 2083 (2) ◽  
pp. 022059
Author(s):  
Jian Sun ◽  
Hao Wu ◽  
Zhiyuan Huang ◽  
Binbin Bei ◽  
Songqian Cao ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Data Transmission ◽  
Loss Rate ◽  
Rapid Development ◽  
Wide Area ◽  
Sensor Technology ◽  
Test Results ◽  
Network Nodes ◽  
Transmission Distance

Abstract With the rapid development and maturity of communication technology, integrated computer technology and sensor technology, small sensors with sensing, computing and communication capabilities have begun to appear all over the world. The sensor network composed of these small sensors has received a lot of attention. This paper studies the low-power wide-area communication gateway for power data transmission. Based on the analysis of the energy consumption strategy of the power data transmission process, the low-power wide-area communication gateway for power data transmission is developed, and the developed gateway was tested. According to the peer test results of the gateway, the packet loss rate of the gateway within 100m is relatively good. Therefore, when arranging network nodes, try to control the transmission distance of the gateway within 100m. The energy consumption test shows that the energy consumption of the gateway is basically in an ideal state.

scholarly journals A Method for Energy Balance and Data Transmission Optimal Routing in Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3017 ◽  
Author(s):  
Xuesong Liu ◽  
Jie Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Balance ◽  
Energy Distribution ◽  
Data Transmission ◽  
Line Length ◽  
Wireless Sensor ◽  
Hop Count ◽  
Transmission Distance

Wireless sensor networks are widely used in many fields. Nodes in the network are typically powered by batteries. Because the energy consumption of wireless communication is related to the transmission distance, the energy consumption of nodes in different locations is different, resulting in uneven energy distribution of nodes. In some special applications, all nodes are required to work at the same time, and the uneven energy distribution makes the effective working time of the system subject to the node with the largest energy consumption. The commonly used clustering protocol can play a role in balancing energy consumption, but it does not achieve optimal energy consumption. This paper proposes to use the power supply line to connect the nodes to fully balance the energy. The connection scheme with the shortest power line length is also proposed. On the basis of energy balance, the method of transmitting data with the best hop count is proposed, which fully reduces the power consumption of the data transmission. The simulation results show that the proposed method can effectively reduce the energy consumption and prolong the lifetime of wireless sensor networks.

scholarly journals An NB-IoT-Based Edge-of-Things Framework for Energy-Efficient Image Transfer

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5929
Author(s):  
Sikandar Zulqarnain Khan ◽  
Yannick Le Moullec ◽  
Muhammad Mahtab Alam
Keyword(s):  
Machine Learning ◽  
Energy Consumption ◽  
Low Power ◽  
Data Transmission ◽  
Energy Efficient ◽  
Transmission Time ◽  
Processing Unit ◽  
Image Transfer ◽  
Visual Data ◽  
Smart Gateway

Machine Learning (ML) techniques can play a pivotal role in energy efficient IoT networks by reducing the unnecessary data from transmission. With such an aim, this work combines a low-power, yet computationally capable processing unit, with an NB-IoT radio into a smart gateway that can run ML algorithms to smart transmit visual data over the NB-IoT network. The proposed smart gateway utilizes supervised and unsupervised ML algorithms to optimize the visual data in terms of their size and quality before being transmitted over the air. This relaxes the channel occupancy from an individual NB-IoT radio, reduces its energy consumption and also minimizes the transmission time of data. Our on-field results indicate up to 93% reductions in the number of NB-IoT radio transmissions, up to 90.5% reductions in the NB-IoT radio energy consumption and up to 90% reductions in the data transmission time.

scholarly journals Improving Quality-of-Service in LoRa Low-Power Wide-Area Networks through Optimized Radio Resource Management

2019 ◽  
Author(s):  
Eduardo Sallum ◽  
Nuno Pereira ◽  
Mario Alves ◽  
Max Mauro Santos
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
Low Power ◽  
Fine Tuning ◽  
Wide Area ◽  
Mixed Integer ◽  
Wide Area Networks ◽  
Dynamic Allocation ◽  
Equal Distribution

Low Power Wide Area Networks (LPWAN) enable a growing number of Internet-of-Things (IoT) applications with large geographical coverage, low bit-rate, and long lifetime requirements. LoRa (Long Range) is a well-known LPWAN technology that uses a proprietary Chirp Spread Spectrum (CSS) physical layer, while the upper layers are defined by an open standard - LoRaWAN. In this paper, we propose a simple yet effective method to improve the Quality-of-Service (QoS) of LoRa networks by fine-tuning specific radio parameters. Through a Mixed Integer Linear Programming (MILP) problem formulation, we find optimal settings for the Spreading Factor (SF) and Carrier Frequency (CF) radio parameters, considering the network traffic specifications as a whole, to improve the Data Extraction Rate (DER) and to reduce the packet collision rate and the energy consumption in LoRa networks. The effectiveness of the optimization procedure is demonstrated by simulations, using LoRaSim for different network scales. In relation to the traditional LoRa radio parameter assignment policies, our solution leads to an average increase of 6% in DER, and a number of collisions 13 times smaller. In comparison to networks with dynamic radio parameter assignment policies, there is an increase of 5%, 2.8%, and 2% of DER, and a number of collisions 11, 7.8 and 2.5 times smaller than equal-distribution, Tiurlikova's (SoTa), and random distribution, respectively. Regarding the network energy consumption metric, the proposed optimization obtained an average consumption similar to Tiurlikova's, and 2.8 times lower than the equal-distribution and random dynamic allocation policies. Furthermore, we approach the practical aspects of how to implement and integrate the optimization mechanism proposed in LoRa, guaranteeing backward compatibility with the standard protocol.

Performance Test Results of a Precision Data Acquisition and Control Platform for 200°C+ High Temperature Environments

2018 ◽  
Vol 2018 (HiTEC) ◽  
pp. 000103-000111
Author(s):  
Jeff Watson ◽  
Maithil Pachchigar ◽  
Ross Bannatyne ◽  
Clay Merritt ◽  
Christopher Conrad ◽  
...  
Keyword(s):  
High Temperature ◽  
Low Power ◽  
Data Acquisition ◽  
Performance Test ◽  
Rapid Development ◽  
Sensor Data ◽  
Harsh Environment ◽  
Test Results ◽  
Precision Data ◽  
And Control

Abstract In recent years there has been an increasing selection of commercially available electronic components specified for very high temperature (200C+) operation, driven by the needs of harsh-environment applications such as oil and gas exploration/production, aerospace, heavy industrial, and automotive. However, there remains a significant technical challenge to integrate these components into reliable, high performance systems. We previously presented a complete reference design of a precision multichannel sensor data acquisition and control system rated to 200C, including characterized hardware, firmware, and software. The design is based around low power 16 bit SAR ADCs and an ARM® Cortex®-M0 processor and is optimized for high resolution and high throughput measurements while maintaining low power and a small footprint. In this paper we present the test results of this system over temperature. The reference platform is available off the shelf, including hardware design files, processor firmware source code, and PC software for data logging and display, providing engineers a rapid development tool for prototyping and a faster path to production for complex harsh-environment applications.

scholarly journals Analysis of Bidirectional ADR-Enabled Class B LoRaWAN Networks in Industrial Scenarios

2020 ◽  
Vol 10 (22) ◽  
pp. 7964
Author(s):  
David Todoli-Ferrandis ◽  
Javier Silvestre-Blanes ◽  
Víctor Sempere-Payá ◽  
Ana Planes-Martínez
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Packet Loss ◽  
Industry 4.0 ◽  
Smart Cities ◽  
Data Rate ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Class B

Low-power wide-area network (LPWAN) technologies are becoming a widespread solution for wireless deployments in many applications, such as smart cities or Industry 4.0. However, there are still challenges to be addressed, such as energy consumption and robustness. To characterize and optimize these types of networks, the authors have developed an optimized use of the adaptative data rate (ADR) mechanism for uplink, proposed its use also for downlink based on the simulator ns-3, and then defined an industrial scenario to test and validate the proposed solution in terms of packet loss and energy.

The Development and Application of Ultra-Low-Power Wireless Sensor Network Nodes

2013 ◽  
Vol 846-847 ◽  
pp. 411-414
Author(s):  
Zhi Ming Li ◽  
Xiang Guang Chen
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Low Power ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Power Module ◽  
Ultra Low Power ◽  
Network Nodes ◽  
Processing Module ◽  
Wireless Module

In order to extend the life span of battery-powered wireless sensor network nodes, this article proceed from the power module, data processing module, wireless module and MAC protocols to design an ultra-low-power wireless sensor network nodes. The nodes improve the power module efficiency maximally, at the same time it utilizes the ultra-low-power data processing module and the asynchronous MAC protocol adopting a sleep wake-up mechanism. Thus it reduces the integrated energy consumption of wireless module significantly. The life span of the nodes has been increased more than three times. In a word, the design in proposed in this paper greatly cuts down the energy consumption of wireless sensor network, which has practical significance of expanding the application space and improving the application effects of wireless sensor network.

scholarly journals OPTIMIZATION OF LIFETIME IN WIRELESS MONITORING NETWORKS

2020 ◽  
pp. 267-272
Author(s):  
Yuliia Kovalova ◽  
Tetyana Babenko ◽  
Oleksandr Oksiiuk ◽  
Larysa Myrutenko
Keyword(s):  
Energy Consumption ◽  
Wireless Network ◽  
Data Transmission ◽  
Monitoring Network ◽  
Test Results ◽  
Monitoring Networks ◽  
Wireless Monitoring ◽  
Mac Layers ◽  
Network Topologies ◽  
Hardware Platforms

Wireless network finds application in communal facilities monitoring and management systems. One of the basic requirements for the construction of a wireless monitoring network with autonomous power supply is the guaranteed network lifetime. Up-to-date challenges in the field of wireless monitoring networks are creation of universal hardware platforms that allow for usage of widespread proprietary transceivers of different manufacturers aiming at creating network topologies raising energy efficiency and lifetime of WMN. The article describes a model of a wireless network allowing evaluation of its lifetime by energy parameters and dynamic reconfigurations induced by external influence. On the basis of the represented test results one may conclude that energy consumption is defined by the level of the application stack of the protocol ZigBeе and doesn’t depend on PHY and MAC layers of the protocol 802.15.4. Considering energy consumption of the data transmission process, potential increase in the lifetime of the devices and network as a whole is mostly controlled by the sizes of useful messages.

scholarly journals Improving Quality-of-Service in LoRa Low-Power Wide-Area Networks through Optimized Radio Resource Management

2019 ◽  
Author(s):  
Eduardo Sallum ◽  
Nuno Pereira ◽  
Mário Alves ◽  
Max Santos
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
Low Power ◽  
Fine Tuning ◽  
Wide Area ◽  
Mixed Integer ◽  
Wide Area Networks ◽  
Dynamic Allocation ◽  
Equal Distribution

Low Power Wide Area Networks (LPWAN) enable a growing number of Internet-of-Things (IoT) applications with large geographical coverage, low bit-rate and long lifetime requirements. LoRa (Long Range) is a well-known LPWAN technology which uses a proprietary Chirp Spread Spectrum (CSS) physical layer, while the upper layers are defined by an open standard - LoRaWAN. In this paper, we propose a simple yet effective method to improve the Quality-of-Service (QoS) of LoRa networks by fine-tuning specific radio parameters. Through a Mixed Integer Linear Programming (MILP) problem formulation, we find optimal settings for the Spreading Factor (SF) and Carrier Frequency (CF) radio parameters, considering the network traffic specifications as a whole, to improve the Data Extraction Rate (DER) and to reduce the packet collision rate and the energy consumption in LoRa networks. The effectiveness of the optimization procedure is demonstrated by simulations, considering realistic scenarios. In relation to the traditional LoRa radio parameter assignment policies, our solution leads to an average increase of 30% in DER, and a number of collisions 17 times smaller. In comparison to networks with dynamic radio parameter assignment policies, there is an increase of 10.5% and 4% of DER, and a number of collisions 13.5 and 7.5 times smaller than equal-distribution and random distribution, respectively. Regarding the network energy consumption metric, the proposed optimization obtained an average consumption 3.6 and 2.74 times lower than the equal-distribution and random dynamic allocation policies, respectively. Furthermore, we approach the practical aspects on how to implement and integrate the optimization mechanism proposed in LoRa, guaranteeing backward compatibility with the standard protocol.

scholarly journals Improving Quality-Of-Service in LoRa Low-Power Wide-Area Networks through Optimized Radio Resource Management

2020 ◽  
Vol 9 (1) ◽  
pp. 10 ◽  
Author(s):  
Eduardo Sallum ◽  
Nuno Pereira ◽  
Mário Alves ◽  
Max Santos
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
Low Power ◽  
Fine Tuning ◽  
Wide Area ◽  
Mixed Integer ◽  
Wide Area Networks ◽  
Dynamic Allocation ◽  
Equal Distribution

Low Power Wide Area Networks (LPWAN) enable a growing number of Internet-of-Things (IoT) applications with large geographical coverage, low bit-rate, and long lifetime requirements. LoRa (Long Range) is a well-known LPWAN technology that uses a proprietary Chirp Spread Spectrum (CSS) physical layer, while the upper layers are defined by an open standard—LoRaWAN. In this paper, we propose a simple yet effective method to improve the Quality-of-Service (QoS) of LoRaWAN networks by fine-tuning specific radio parameters. Through a Mixed Integer Linear Programming (MILP) problem formulation, we find optimal settings for the Spreading Factor (SF) and Carrier Frequency (CF) radio parameters, considering the network traffic specifications as a whole, to improve the Data Extraction Rate (DER) and to reduce the packet collision rate and the energy consumption in LoRa networks. The effectiveness of the optimization procedure is demonstrated by simulations, using LoRaSim for different network scales. In relation to the traditional LoRa radio parameter assignment policies, our solution leads to an average increase of 6% in DER, and a number of collisions 13 times smaller. In comparison to networks with dynamic radio parameter assignment policies, there is an increase of 5%, 2.8%, and 2% of DER, and a number of collisions 11, 7.8 and 2.5 times smaller than equal-distribution, Tiurlikova’s (SOTA), and random distribution, respectively. Regarding the network energy consumption metric, the proposed optimization obtained an average consumption similar to Tiurlikova’s, and 2.8 times lower than the equal-distribution and random dynamic allocation policies. Furthermore, we approach the practical aspects of how to implement and integrate the optimization mechanism proposed in LoRa, guaranteeing backward compatibility with the standard protocol.

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