LPWAN in the TV White Spaces

2021 ◽  
Vol 20 (4) ◽  
pp. 1-26
Author(s):  
Mahbubur Rahman ◽  
Dali Ismail ◽  
Venkata P. Modekurthy ◽  
Abusayeed Saifullah
Keyword(s):  
Form Factor ◽  
Low Power ◽  
Low Cost ◽  
Average Power ◽  
Software Radio ◽  
Form Factors ◽  
Area Network ◽  
Tv White Spaces ◽  
White Spaces ◽  
Internet Of Things Technology

Low-Power Wide-Area Network (LPWAN) is an enabling Internet-of-Things technology that supports long-range, low-power, and low-cost connectivity to numerous devices. To avoid the crowd in the limited ISM band (where most LPWANs operate) and cost of licensed band, the recently proposed Sensor Network over White Spaces (SNOW) is a promising LPWAN platform that operates over the TV white spaces. As it is a very recent technology and is still in its infancy, the current SNOW implementation uses the Universal Software Radio Peripheral devices as LPWAN nodes, which has high costs (≈$750 USD per device) and large form-factors, hindering its applicability in practical deployment. In this article, we implement SNOW using low-cost, low form-factor, low-power, and widely available commercial off-the-shelf (COTS) devices to enable its practical and large-scale deployment. Our choice of the COTS device (TI CC13x0: CC1310 or CC1350) consequently brings down the cost and form-factor of a SNOW node by 25× and 10×, respectively. Such implementation of SNOW on the CC13x0 devices, however, faces a number of challenges to enable link reliability and communication range. Our implementation addresses these challenges by handling peak-to-average power ratio problem, channel state information estimation, carrier frequency offset estimation, and near-far power problem. Our deployment in the city of Detroit, Michigan, demonstrates that CC13x0-based SNOW can achieve uplink and downlink throughputs of 11.2 and 4.8 kbps per node, respectively, over a distance of 1 km. Also, the overall throughput in the uplink increases linearly with the increase in the number of SNOW nodes.

Tunable Low Power UWB Transmitter for WBAN Application

2015 ◽  
Vol 24 (03) ◽  
pp. 1550040 ◽  
Author(s):  
V. Vinod Kumar ◽  
M. Meenakshi
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Power Efficiency ◽  
Delay Line ◽  
Data Transfer ◽  
Low Cost ◽  
Wireless Body Area Network ◽  
Superior Performance ◽  
Area Network ◽  
Coverage Area

This paper presents the design and simulation results for a Federal Communication Committee (FCC) complaint current starved delay line based Ultra Wide Band (UWB) Gaussian pulse transmitter, which is designed for operating in the 3.1–10.6 GHz range. The wavelet is a mono cycle Gaussian impulse wave, which is practically well suited for low cost, low power, low data rate wireless data transfer such as in wireless body area network (WBAN) applications. The transmitter operating frequency and bandwidth (BW) is controlled using a dc voltage provided at the input stage of a voltage controlled delay line (VCDL) and this aspect can be exploited for increasing the communication coverage area without compromising on the power consumption. A Gaussian wave shaping is performed for FCC compliance and the simulation has been carried out with 130 nm technology. The simulation of our design suggests an average dynamic power consumption of 1.11 mw for an energy efficiency of 14.2 pJ/pulse. The proposed IR-UWB transmitter design though a bit inferior in terms of the power efficiency, can claim superior performance with respect to tuning the BW, which is very relevant in a cognitive wireless networking scenario with other interfering signals.

scholarly journals An Internet of Things (IoT) Application on Volcano Monitoring

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4651 ◽  
Author(s):  
Shadia Awadallah ◽  
David Moure ◽  
Pedro Torres-González
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Low Cost ◽  
Thermal Anomaly ◽  
Raspberry Pi ◽  
Area Network ◽  
Wide Area Network ◽  
Volcanic Surveillance ◽  
First Results ◽  
Network Operation

In the last few years, there has been a huge interest in the Internet of Things (hereinafter IoT) field. Among the large number of IoT technologies, the low-power wide-area network (hereinafter LPWAN) has emerged providing low power, low data-rate communication over long distances, enabling battery-operated devices to operate for long time periods. This paper introduces an application of long-range (hereinafter LoRa) technology, one of the most popular LPWANs, to volcanic surveillance. The first low-power and low-cost wireless network based on LoRa to monitor the soil temperature in thermal anomaly zones in volcanic areas has been developed. A total of eight thermometers (end devices) have been deployed on a Teide volcano in Tenerife (Canary Islands). In addition, a repeater device was developed to extend the network range when the gateway did not have a line of sight connection with the thermometers. Combining LoRa communication capabilities with microchip microcontrollers (end devices and repeater) and a Raspberry Pi board (gateway), three main milestones have been achieved: (i) extreme low-power consumption, (ii) real-time and proper temperature acquisition, and (iii) a reliable network operation. The first results are shown. These results provide enough quality for a proper volcanic surveillance.

LoRaWAN for an IoT-based environmental monitoring application in Tirana city

2021 ◽  
Author(s):  
Evjola Spaho ◽  
Aleksandër Biberaj ◽  
Ares Tahiraga
Keyword(s):  
Low Power ◽  
Environmental Monitoring ◽  
Long Range ◽  
Low Cost ◽  
Wide Area ◽  
Wide Area Networks ◽  
Area Network ◽  
Wide Area Network ◽  
Long Distance ◽  
Monitoring Application

AbstractRecently, low power wide area networks are attracting a lot of attention by the research community. They are wireless technologies characterized by large coverage area, low bandwidth and long battery life. One of these low power wide area networks technologies, the long range wide area network, can be used for different monitoring applications for health, agriculture, traffic, smart city.In this paper, different simulations and experiments are conducted to implement a low-cost long-range wide area network environmental monitoring application for Tirana city in Albania. Simulation and experimental data are compared and similar results were obtained. In the low-cost implemented system, the gateway can communicate with the sensors placed in strategic positions with long distance covered also using Radio Mobile software.

scholarly journals Low-Power Wide-Area Network Over White Spaces

2018 ◽  
Vol 26 (4) ◽  
pp. 1893-1906 ◽  
Author(s):  
Abusayeed Saifullah ◽  
Mahbubur Rahman ◽  
Dali Ismail ◽  
Chenyang Lu ◽  
Jie Liu ◽  
...  
Keyword(s):  
Low Power ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
White Spaces

TV white spaces for low-power wide-area networks

2020 ◽  
pp. 167-179
Author(s):  
Anjali Askhedkar ◽  
Bharat Chaudhari ◽  
Marco Zennaro ◽  
Ermanno Pietrosemoli
Keyword(s):  
Low Power ◽  
Wide Area ◽  
Wide Area Networks ◽  
Tv White Spaces ◽  
White Spaces

scholarly journals Ultra-low-power energy harvesting using power-optimized waveforms

2015 ◽  
Vol 3 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Christopher R. Valenta ◽  
Gregory D. Durgin
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Low Cost ◽  
Average Power ◽  
Input Power ◽  
Ultra Low Power ◽  
Backscatter Communication ◽  
Passive Sensors ◽  
Energy Harvesting Efficiency ◽  
Transfer Of Information

Power-optimized waveforms (POWs) are the enabling technology for realizing an internet-of-things (IoTs). An IoT will require billions or trillions of sensors, which must rely on passive, backscatter communication to facilitate the wireless transfer of information. Passive, backscatter sensors are uniquely suited for an IoT because of their ease of installation, low-cost, and lack of potentially toxic batteries. POW's primary benefit is that they can greatly improve the energy-harvesting efficiency of passive sensors, which increases their range and reliability. An overview of POWs is presented followed by measured results validated by a theoretical model and computer simulations. These measured results conducted at 5.8 GHz demonstrate the highest reported efficiency of a low-power, microwave energy-harvesting circuit of 26.3% at an input power of −10.2 dBm when using an excitation signal with a peak-to-average-power ratio of 12.

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