Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

PI Controller: Design

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...

Nursing Clinical Information System

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

You might also read

Related Articles

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

Sort by

Same author

Centralized two tier clustering method for wireless sensor networks based on a coupled cascaded fuzzy system.

Scientific reports·2025

Same author

BLE-Based Custom Devices for Indoor Positioning in Ambient Assisted Living Systems: Design and Prototyping.

Sensors (Basel, Switzerland)·2025

Same author

A Systematic Analysis of Narrowband IoT Quality of Service.

Sensors (Basel, Switzerland)·2020

Same author

Knowledge-Based Sensors for Controlling A High-Concentration Photovoltaic Tracker.

Sensors (Basel, Switzerland)·2020

Same author

Wireless Acoustic Sensor Nodes for Noise Monitoring in the City of Linares (Jaén).

Sensors (Basel, Switzerland)·2019

Same author

A new collaborative knowledge-based approach for wireless sensor networks.

Sensors (Basel, Switzerland)·2012

Search research articles

Related Experiment Video

Updated: May 26, 2026

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Wireless Intelligent Sensors Management Application Protocol-WISMAP.

Juan Carlos Cuevas-Martinez¹, Manuel Angel Gadeo-Martos, Jose Angel Fernandez-Prieto

¹Telecommunication Engineering Department, University of Jaen, Alfonso X El Sabio 28, 23700 Linares, Jaen, Spain. jccuevas@ujaen.es

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

This study introduces a novel distributed system for wireless sensor networks, enabling sensor nodes to run applications like fuzzy logic systems. The multi-agent architecture enhances network capabilities for diverse real-world uses.

Keywords:

application protocol fuzzy rule-based system wireless sensor networks

Related Experiment Videos

Last Updated: May 26, 2026

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Recent research emphasizes wireless sensor network (WSN) applications.
Knowledge-based sensor nodes and their distributed systems remain underexplored.
Existing WSNs often lack the capacity for complex, on-node application execution.

Purpose of the Study:

To develop a distributed system for real-world wireless sensor networks.
To enable individual sensor nodes to execute diverse applications, including fuzzy rule-based systems.
To create a flexible and intelligent sensor node architecture.

Main Methods:

Designed a multi-agent software structure for sensor nodes.
Incorporated management, application control, and communication agents.
Developed a service interface for hardware abstraction and an application layer protocol.

Main Results:

Demonstrated the effectiveness of the developed communication protocol.
Validated the system's suitability for a broad spectrum of WSN applications.
Successfully implemented a fuzzy rule-based system and a noise pollution monitoring application.

Conclusions:

The proposed multi-agent system enhances wireless sensor node capabilities.
The system effectively supports complex applications like fuzzy logic and environmental monitoring.
This architecture offers a robust foundation for intelligent and distributed sensor networks.