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Evaluation of IEEE802.15.4g for environmental observations

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TLDR
There are radio settings that outperform the “2-FSK at 50 kbps” base setting in terms of range, throughput and reliability, and results show that highly reliable communications with data rates up to 800 kbps can be achieved in urban environments at 540 m between nodes, and the longest useful radio link is obtained at 779 m.
Abstract
IEEE802.15.4g is a low-power wireless standard initially designed for Smart Utility Networks, i.e., for connecting smart meters. IEEE802.15.4g operates at sub-GHz frequencies to offer 2–3× longer communication range compared to its 2.4 GHz counterpart. Although the standard offers 3 PHYs (Frequncy Shift Keying, Orthogonal Frequency Division Multiplexing and Offset-Quadrature Phase Shift Keying) with numerous configurations, 2-FSK at 50 kbps is the mandatory and most prevalent radio setting used. This article looks at whether IEEE802.15.4g can be used to provide connectivity for outdoor deployments. We conduct range measurements using the totality of the standard (all modulations with all further parametrization) in the 863–870 MHz band, within four scenarios which we believe cover most low-power wireless outdoor applications: line of sight, smart agriculture, urban canyon, and smart metering. We show that there are radio settings that outperform the “2-FSK at 50 kbps” base setting in terms of range, throughput and reliability. Results show that highly reliable communications with data rates up to 800 kbps can be achieved in urban environments at 540 m between nodes, and the longest useful radio link is obtained at 779 m. We discuss how IEEE802.15.4g can be used for outdoor operation, and reduce the number of repeater nodes that need to be placed compared to a 2.4 GHz solution.

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Proceedings ArticleDOI

Performance Measurements of IEEE 802.15.4g Wireless Networks

TL;DR: The results obtained show that in the urban context, due to the presence of buildings, trees and other obstacles that prevent the signal propagation, the communication range is under 200m, while in a rural (open) environment it is possible to achieve longer distances, in the order of 800m.
Journal ArticleDOI

Experimental Interference Robustness Evaluation of IEEE 802.15.4-2015 OQPSK-DSSS and SUN-OFDM Physical Layers for Industrial Communications

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References
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FireWxNet: A Multi-Tiered Portable Wireless System for Monitoring Weather Conditions in Wildland Fire Environments ; CU-CS-999-05

TL;DR: In this article, a multi-tiered portable wireless system for monitoring weather conditions in rugged wildland environments is presented, which provides the community the ability to safely and easily measure and view re and weather conditions over a wide range of locations and elevations within forest res.
Journal Article

SCALE: A tool for Simple Connectivity Assessment in Lossy Environments

TL;DR: In this paper, the authors describe SCALE, a software tool to make radio connectivity measurements and present results of using SCALE with Mica 1 and 2 in three different environments under systematically varied conditions.

Radio wave propagation in potato fields

TL;DR: An extensive set of measurements taken in a potato field, where the foliage has an important effect on the propagation of radio waves, show that radio waves propagate better in conditions with a high humidity and attribute this to changes in the reflection coefficient of the top of the potato canopy.
Proceedings ArticleDOI

The IEEE 802.15.4g standard for smart metering utility networks

Kuor-Hsin Chang, +1 more
TL;DR: This paper summaries the technical essence of the IEEE802.15.4g standard and how it can be used in smart utility networks.
Journal ArticleDOI

Design and Field Test of a WSN Platform Prototype for Long-Term Environmental Monitoring

TL;DR: This paper presents in this paper the most important design considerations and optimizations of all elements of a low-cost WSN platform prototype for long-term, low-maintenance pervasive wildfire monitoring, its preparation for a nearly three-month field test, the analysis of the causes of failure during the test and the lessons learned for platform improvement.
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