Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

NB-IoT Coverage and Sensor Node Connectivity in DenseUrbanEnvironments: An Empirical Study

NB-IoT Coverage and Sensor Node Connectivity in DenseUrbanEnvironments: An Empirical Study Wireless sensor networks have enabled smart infrastructures and novel applications. With the recent roll-out of Narrowband IoT (NB-IoT) cellular radio technology, wireless sensors can be widely deployed for data collection in cities around the world. However, empirical evidence regarding the coverage and connectivity of NB-IoT in dense urban areas is limited. This article presents an empirical study that focuses on evaluating the coverage and connectivity of NB-IoT in a dense urban environment. We have designed an NB-IoT sensor node and deployed over 100 of them in high-rise apartment buildings in Hong Kong. These sensor nodes utilize a commercial NB-IoT network to collect high-resolution water flow data for machine learning model training and provide timely feedback to users. We collect and analyze the empirical NB-IoT signal measurements from the sensor nodes deployed in various challenging outdoor and indoor environments for over three months. These empirical measurements reveal correlations between NB-IoT connectivity and sensor installation environments. We also observe that inter-cell interference, as a result of coverage by multiple neighboring NB-IoT cells in a dense urban environment, is a source of connectivity degradation. We discuss potential issues that IoT application designers and system integrators might encounter in practical NB-IoT devices deployment, and we propose a transmission decision algorithm based on signal measurements for mitigating energy wasted due to transmission failures. Finally, we demonstrate the results and the benefits of using high-resolution water flow data collected by our purpose-built NB-IoT sensor nodes for studying the patterns of domestic water consumption in Hong Kong. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Sensor Networks (TOSN) Association for Computing Machinery

NB-IoT Coverage and Sensor Node Connectivity in DenseUrbanEnvironments: An Empirical Study

Download PDF
36 pages

Loading next page...
 
/lp/association-for-computing-machinery/nb-iot-coverage-and-sensor-node-connectivity-in-denseurbanenvironments-k09qgoq1TJ
Publisher
Association for Computing Machinery
Copyright
Copyright © 2022 Association for Computing Machinery.
ISSN
1550-4859
eISSN
1550-4867
DOI
10.1145/3536424
Publisher site
See Article on Publisher Site

Abstract

Wireless sensor networks have enabled smart infrastructures and novel applications. With the recent roll-out of Narrowband IoT (NB-IoT) cellular radio technology, wireless sensors can be widely deployed for data collection in cities around the world. However, empirical evidence regarding the coverage and connectivity of NB-IoT in dense urban areas is limited. This article presents an empirical study that focuses on evaluating the coverage and connectivity of NB-IoT in a dense urban environment. We have designed an NB-IoT sensor node and deployed over 100 of them in high-rise apartment buildings in Hong Kong. These sensor nodes utilize a commercial NB-IoT network to collect high-resolution water flow data for machine learning model training and provide timely feedback to users. We collect and analyze the empirical NB-IoT signal measurements from the sensor nodes deployed in various challenging outdoor and indoor environments for over three months. These empirical measurements reveal correlations between NB-IoT connectivity and sensor installation environments. We also observe that inter-cell interference, as a result of coverage by multiple neighboring NB-IoT cells in a dense urban environment, is a source of connectivity degradation. We discuss potential issues that IoT application designers and system integrators might encounter in practical NB-IoT devices deployment, and we propose a transmission decision algorithm based on signal measurements for mitigating energy wasted due to transmission failures. Finally, we demonstrate the results and the benefits of using high-resolution water flow data collected by our purpose-built NB-IoT sensor nodes for studying the patterns of domestic water consumption in Hong Kong.

Journal

ACM Transactions on Sensor Networks (TOSN) – Association for Computing Machinery

Published: Sep 15, 2022

Keywords: Narrowband Internet of Things

References

  • Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Layer; Measurements
    [,
  • Study on Channel Model for Frequencies from 0
    [,
  • NB-IoT versus LoRaWAN: An experimental evaluation for industrial applications
    [,
  • Do LoRa low-power wide-area networks scale? In Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM’16)
    [,
  • Empirical models for NB-IoT path loss in an urban scenario
    [,
  • LoRaWAN™ 1
    [,
  • Charm: Exploiting geographical diversity through coherent combining in low-power wide-area networks
    [,
  • Empowering low-power wide area networks in urban settings
    [,
  • Frequency configuration for low-power wide-area networks in a heartbeat
    [,
  • Water fixture identification in smart housing: A domain knowledge based case study
    [,
  • Interference analysis in the LTE and NB-IoT uplink multiple access with RF impairments
    [,
  • Enabling massive IoT toward 6G: A comprehensive survey
    [,
  • Samiul Haque Sunny
    [,
  • A tutorial on NB-IoT physical layer design
    [,
  • On interference avoidance through inter-cell interference coordination (ICIC) based on OFDMA mobile systems
    [,
  • Coverage and deployment analysis of narrowband internet of things in the wild
    [,
  • Coverage and capacity analysis of LTE-M and NB-IoT in a rural area
    [,
  • Smart Technologies, Actionable Data, and Domestic Water Consumption in Hong Kong: Potentials and Constraints
    [,
  • Smart choice for the smart grid: Narrowband internet of things (NB-IoT)
    [,
  • Known and unknown facts of LoRa: Experiences from a large-scale measurement study
    [,
  • Blockchain and machine learning for communications and networking systems
    [,
  • High-resolution tap-based IoT system for flow data collection and water end-use analysis
    [,
  • Investigation of deep indoor NB-IoT propagation attenuation
    [,
  • Radio resource management in NB-IoT systems: Empowered by interference prediction and flexible duplexing
    [,
  • Evaluation of low power wide area network technologies for smart urban drainage systems
    [,
  • NB-IoT network field trial: Indoor, outdoor and underground coverage campaign
    [,
  • NB-IoT deployment study for low power wide area cellular IoT
    [,
  • A systematic analysis of narrowband IoT quality of service
    [,
  • A comparative study of LPWAN technologies for large-scale IoT deployment
    [,
  • SAM D21/DA1 Family [Complete Datasheet]
    [,
  • 824~2170MHz Flexible Antenna Side-Fed Application Specification
    [,
  • Flexible and efficient deployment of NB-IoT and LTE-MTC in coexistence with 5G new radio
    [,
  • nRF9160 Product Specification v2
    [,
  • nRF91 AT Commands v1
    [,
  • nRF9160 DK Hardware User Guide v1
    [,
  • LTE-M evolution towards 5G massive MTC
    [,
  • Narrowband Internet of things whitepaper
    [,
  • SX1276/77/78/79-137 MHz to 1020 MHz Low Power Long Range Transceiver
    [,
  • Urban air pollution monitoring system with forecasting models
    [,
  • Measuring and optimizing cell selection of NB-IoT network
    [,
  • Turbine Flow Sensor Series VTY [Operating Manual]
    [,
  • CSI amplitude fingerprinting-based NB-IoT indoor localization
    [,
  • Applications of the internet of things (IoT) in smart logistics: A comprehensive survey
    [,
  • Modelling and experimental validation for battery lifetime estimation in NB-IoT and LTE-M
    [,
  • A non-intrusive approach for classifying residential water events using coincident electricity data
    [,
  • Drinking Water
    [,
  • A first look at energy consumption of NB-IoT in the wild: Tools and large-scale measurement
    [,
  • Understanding power consumption of NB-IoT in the wild: Tool and large-scale measurement
    [,
  • Energy harvesting in internet of things
    [,
  • Connecting intelligent things in smart hospitals using NB-IoT
    [,