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Wireless Sensor Networks for Health Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (20 November 2024) | Viewed by 1236

Special Issue Editor


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Guest Editor
ISCTE-IUL and Instituto de Telecomunicações, Lisboa, Portugal
Interests: intelligent communications; wireless and wired general communications for smart environments; Internet of Things; healthcare; air quality monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cardiorespiratory assessment is an essential element of healthcare since it gives vital information about a patient's cardiovascular and respiratory health. By providing continuous, non-invasive monitoring of vital signs, wireless sensor networks (WSNs) has the potential to considerably improve the accuracy and efficiency of cardiorespiratory assessment. This can aid healthcare practitioners in detecting early indicators of heart and lung illness, tracking the evolution of these conditions, and adjusting treatment regimens as needed. Furthermore, WSN-based cardiorespiratory evaluation may be conducted remotely, allowing patients to receive care from the comfort of their own homes, which can be especially advantageous for individuals with chronic diseases or mobility concerns.

This Special Issue aims to put together original research and review articles on recent advances, technologies, solutions, applications, and new challenges in this field.

Potential topics include but are not limited to:

  • Wireless sensor networks;
  • Embedded systems;
  • Bio signal processing;
  • Wearable systems and sensors;
  • m-health;
  • Electrocardiography;
  • Telemedicine;
  • Artificial Intelligence (AI);
  • Internet of Thing (IoT);
  • Healthcare.

Prof. Dr. Francisco Cercas
Guest Editor

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Published Papers (1 paper)

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Research

15 pages, 667 KiB  
Article
An Innovative Linear Wireless Sensor Network Reliability Evaluation Algorithm
by Tao Ma, Huidong Guo and Xin Li
Sensors 2025, 25(1), 285; https://doi.org/10.3390/s25010285 - 6 Jan 2025
Viewed by 725
Abstract
In recent years, wireless sensor networks (WSNs) have become a crucial technology for infrastructure monitoring. To ensure the reliability of monitoring services, evaluating the network’s reliability is particularly important. Sensor nodes are distributed linearly when monitoring linear structures, such as railway bridges, forming [...] Read more.
In recent years, wireless sensor networks (WSNs) have become a crucial technology for infrastructure monitoring. To ensure the reliability of monitoring services, evaluating the network’s reliability is particularly important. Sensor nodes are distributed linearly when monitoring linear structures, such as railway bridges, forming what is known as a Linear Wireless Sensor Network (LWSN). Although existing evaluation methods, such as enumeration and Binary Decision Diagram (BDD)-based methods, can be used to assess the reliability of various types of networks, their efficiency is relatively low. Therefore, we classified network states based on the number of failed nodes located at the network’s ends and analyzed the arrangement characteristics of nodes under different network states. This paper proposed a new reliability assessment method for LWSNs. This method is based on the combinatorial patterns of nodes and uses the concept of integer partitions to calculate the total number of states at different performance levels, applying probability formulas to assess network reliability. Compared to Multi-Valued Decision Diagram (MDD)-based evaluation algorithms, this method is suitable for large-scale LWSNs and offers lower time complexity. Full article
(This article belongs to the Special Issue Wireless Sensor Networks for Health Monitoring)
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