Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

88
Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
88
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

771
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
771

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The rule 3-30-300 for a healthier and greener compact Mediterranean city.

Journal of environmental management·2026
Same author

Hyperspectral Imaging Reveals Differential Carotenoid and Chlorophyll Temporal Dynamics and Spatial Patterns in Scots Pine Under Water Stress.

Plant, cell & environment·2024
Same author

Authors' Reply.

Journal of minimally invasive gynecology·2024
Same author

A Controversial Old Topic Revisited: Should Diagnostic Hysteroscopy Be Routinely Performed Prior to the First IVF Cycle? A Systematic Review and Updated Meta-analysis.

Journal of minimally invasive gynecology·2023
Same author

Hysteroscopic metroplasty for the treatment of the dysmorphic uterus: A SWOT analysis.

Frontiers in surgery·2023
Same author

Vasovagal Syncope during Office Hysteroscopy-A Frequently Overlooked Unpleasant Complication.

Medicina (Kaunas, Lithuania)·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 3, 2026

Construction of a Compact Low-Cost Radiation Shield for Air-Temperature Sensors in Ecological Field Studies
05:56

Construction of a Compact Low-Cost Radiation Shield for Air-Temperature Sensors in Ecological Field Studies

Published on: November 6, 2018

7.7K

Standardized low-power wireless communication technologies for distributed sensing applications.

Xavier Vilajosana1, Pere Tuset-Peiro2, Francisco Vazquez-Gallego3

  • 1Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC) C/Roc Boronat 117, Barcelona 08018, Spain. xvilajosana@uoc.edu.

Sensors (Basel, Switzerland)
|February 13, 2014
PubMed
Summary
This summary is machine-generated.

New low-power wireless standards like time-slotted channel hopping (TSCH) and DASH7 Alliance Mode (D7AM) offer reliable industrial sensing. This analysis aims to simplify their adoption for developers facing high costs and unfamiliarity with these Internet of Things (IoT) technologies.

More Related Videos

BtM, a Low-cost Open-source Datalogger to Estimate the Water Content of Nonvascular Cryptogams
08:25

BtM, a Low-cost Open-source Datalogger to Estimate the Water Content of Nonvascular Cryptogams

Published on: March 25, 2019

9.1K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

8.3K

Related Experiment Videos

Last Updated: May 3, 2026

Construction of a Compact Low-Cost Radiation Shield for Air-Temperature Sensors in Ecological Field Studies
05:56

Construction of a Compact Low-Cost Radiation Shield for Air-Temperature Sensors in Ecological Field Studies

Published on: November 6, 2018

7.7K
BtM, a Low-cost Open-source Datalogger to Estimate the Water Content of Nonvascular Cryptogams
08:25

BtM, a Low-cost Open-source Datalogger to Estimate the Water Content of Nonvascular Cryptogams

Published on: March 25, 2019

9.1K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

8.3K

Area of Science:

  • Wireless communication technologies
  • Industrial sensing applications
  • Internet of Things (IoT)

Background:

  • Traditional low-power wireless technologies (ZigBee, ISO 18000-7) exhibit poor performance in dense networks due to contention-based MAC layers.
  • This limitation hinders the widespread adoption of the Internet of Things (IoT) paradigm in industrial settings.
  • Industrial sensing applications, particularly in sectors like oil refineries, demand high data reliability, which older technologies struggle to provide.

Purpose of the Study:

  • To provide a comprehensive analysis of emerging low-power wireless communication standards: time-slotted channel hopping (TSCH) and DASH7 Alliance Mode (D7AM).
  • To detail the operational and implementation aspects of TSCH and D7AM.
  • To facilitate the adoption of these advanced technologies by sensor application developers in industrial environments.

Main Methods:

  • In-depth analysis of time-slotted channel hopping (TSCH) operational principles.
  • Detailed examination of DASH7 Alliance Mode (D7AM) implementation specifics.
  • Comparative overview of new standards against legacy technologies (IEEE 802.15.4, ISO 18000-7).

Main Results:

  • TSCH and D7AM enable industrial sensing networks to scale to thousands of nodes with high reliability.
  • These standards overcome the performance limitations of older, contention-based MAC layers in dense network scenarios.
  • The analysis clarifies operational and implementation details, addressing barriers to adoption.

Conclusions:

  • TSCH and D7AM represent significant advancements for reliable and scalable industrial sensing networks.
  • Understanding these technologies is crucial for overcoming adoption costs and fostering the growth of the Industrial Internet of Things (IIoT).
  • This work aims to empower sensor application developers to leverage these new standards effectively.