Fire hazard monitoring and evacuation for building environments is a novel application area for the deployment of wireless sensor networks. In this context, adaptive routing is essential in order to ensure safe and timely data delivery in building evacuation and fire fighting resource applications. Existing routing mechanisms for wireless sensor networks are not well suited for building fires, especially as they do not consider critical and dynamic network scenarios. In this paper, an emergency-adaptive, real-time and robust routing protocol is presented for emergency situations such as building fire hazard applications. The protocol adapts to handle dynamic emergency scenarios and works well with the routing hole problem. Theoretical analysis and simulation results indicate that our protocol provides a real-time routing mechanism that is well suited for dynamic emergency scenarios in building fires when compared with other related work.
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http://dx.doi.org/10.3390/s100606128 | DOI Listing |
Alzheimers Dement
December 2024
Oregon Health & Science University, Portland, OR, USA.
Background: Conducting research remotely in aging and Alzheimer's disease related (ADRD) populations using multiple passive sensing technologies (e.g., activity watches, electronic pillboxes, bed-mats, wall-mounted sensors) provides opportunities for greater inclusiveness and more ecologically valid data capture.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Oregon Health & Science University, Portland, OR, USA.
Background: Conducting research remotely in aging and Alzheimer's disease related (ADRD) populations using multiple passive sensing technologies (e.g., activity watches, electronic pillboxes, bed-mats, wall-mounted sensors) provides opportunities for greater inclusiveness and more ecologically valid data capture.
View Article and Find Full Text PDFNanomicro Lett
January 2025
RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea.
Recent advancements in passive wireless sensor technology have significantly extended the application scope of sensing, particularly in challenging environments for monitoring industry and healthcare applications. These systems are equipped with battery-free operation, wireless connectivity, and are designed to be both miniaturized and lightweight. Such features enable the safe, real-time monitoring of industrial environments and support high-precision physiological measurements in confined internal body spaces and on wearable epidermal devices.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science & Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Conserving energy of sensor nodes and ensuring balanced workloads among them are fundamental concerns in Wireless Sensor Network (WSN) design. Clustering strategies offer a promising avenue to minimize node energy consumption, thereby prolonging network lifespan. Nevertheless, numerous multi-hop routing protocols using clustering technique face the challenge of nodes nearer to the Base Station (BS) depleting their energy faster due to forwarding data from the entire network leading to premature node failure and network partitioning known as 'hotspot problem'.
View Article and Find Full Text PDFSensors (Basel)
December 2024
LAPLACE Laboratory-UMR5213, National Polytechnic Institute of Toulouse, 31077 Toulouse, France.
This paper introduces a novel methodology for evaluating communication performance in rotating electric machines using Received Signal Strength Indication (RSSI) measurements coupled with artificial intelligence. The proposed approach focuses on assessing the quality of wireless signals in the complex, dynamic environment inside these machines, where factors like reflections, metallic surfaces, and rotational movements can significantly impact communication. RSSI is used as a key parameter to monitor real-time signal behavior, enabling a detailed analysis of communication reliability.
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