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Journal of Sensor and Actuator Networks, Volume 13, Issue 5

October 2024 - 22 articles

Cover Story: Underwater optical wireless communication (UOWC) has gained importance with the rise of unmanned underwater vehicles, particularly in offshore industries focused on sustainable food production and energy security. UOWC supports high data rates and low latency for video transmission; however, links are influenced by inhomogeneous light attenuation and sunlight. This study models the underwater spectral light distribution across depths in eight stratified oceanic water types, exploring optimal transmission wavelengths for maximum signal-to-noise ratio (SNR). We challenge the assumption that the blue-green spectrum is always ideal, revealing a unique relationship between wavelength, SNR, and depth. The results have implications for solar discrimination and routing strategies in optical wireless networks in the photic zone. View this paper
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Articles (22)

  • Article
  • Open Access
7 Citations
12,867 Views
20 Pages

Predictive Maintenance in IoT-Monitored Systems for Fault Prevention

  • Enrico Zero,
  • Mohamed Sallak and
  • Roberto Sacile

This paper focuses on predictive maintenance for simple machinery systems monitored by the Internet of Things (IoT). As these systems can be challenging to model due to their complexity, diverse typologies, and limited operational lifespans, traditio...

  • Article
  • Open Access
1 Citations
4,576 Views
27 Pages

A Cross-Layer Approach to Analyzing Energy Consumption and Lifetime of a Wireless Sensor Node

  • Fernando Ojeda,
  • Diego Mendez,
  • Arturo Fajardo,
  • Maximilian Gottfried Becker and
  • Frank Ellinger

Several wireless communication technologies, including Wireless Sensor Networks (WSNs), are essential for Internet of Things (IoT) applications. WSNs employ a layered framework to govern data exchanges between sender and recipient, which facilitates...

  • Article
  • Open Access
17 Citations
5,043 Views
17 Pages

Efficient Channel Estimation in OFDM Systems Using a Fast Super-Resolution CNN Model

  • Sunita Khichar,
  • Wiroonsak Santipach,
  • Lunchakorn Wuttisittikulkij,
  • Amir Parnianifard and
  • Sushank Chaudhary

Channel estimation is a critical component in orthogonal frequency division multiplexing (OFDM) systems for ensuring reliable wireless communication. In this study, we propose a fast super-resolution convolutional neural network (FSRCNN) model for ch...

  • Article
  • Open Access
5 Citations
4,756 Views
28 Pages

Underwater optical wireless communication (UOWC) is a field of research that has gained popularity with the development of unmanned underwater vehicle (UUV) technologies. Its utilization is crucial in offshore industries engaging in sustainable alter...

  • Review
  • Open Access
27 Citations
7,033 Views
33 Pages

Machine-Learning- and Internet-of-Things-Driven Techniques for Monitoring Tool Wear in Machining Process: A Comprehensive Review

  • Sudhan Kasiviswanathan,
  • Sakthivel Gnanasekaran,
  • Mohanraj Thangamuthu and
  • Jegadeeshwaran Rakkiyannan

Tool condition monitoring (TCM) systems have evolved into an essential requirement for contemporary manufacturing sectors of Industry 4.0. These systems employ sensors and diverse monitoring techniques to swiftly identify and diagnose tool wear, defe...

  • Article
  • Open Access
1 Citations
2,255 Views
27 Pages

A Proof-of-Concept Study of Stability Monitoring of Implant Structure by Deep Learning of Local Vibrational Characteristics

  • Manh-Hung Tran,
  • Nhat-Duc Hoang,
  • Jeong-Tae Kim,
  • Hoang-Khanh Le,
  • Ngoc-Loi Dang,
  • Ngoc-Tuong-Vy Phan,
  • Duc-Duy Ho and
  • Thanh-Canh Huynh

This study develops a structural stability monitoring method for an implant structure (i.e., a single-tooth dental implant) through deep learning of local vibrational modes. Firstly, the local vibrations of the implant structure are identified from t...

  • Article
  • Open Access
1 Citations
3,038 Views
20 Pages

In the era of pervasive mobile and heterogeneous networks, maintaining seamless connectivity during handover events while minimizing energy consumption is paramount. Traditional handover mechanisms prioritize metrics such as signal strength, user mob...

  • Article
  • Open Access
7 Citations
2,880 Views
26 Pages

Energy-Efficient Online Path Planning for Internet of Drones Using Reinforcement Learning

  • Zainab AlMania,
  • Tarek Sheltami,
  • Gamil Ahmed,
  • Ashraf Mahmoud and
  • Abdulaziz Barnawi

Unmanned aerial vehicles (UAVs) have recently been applied in several contexts due to their flexibility, mobility, and fast deployment. One of the essential aspects of multi-UAV systems is path planning, which autonomously determines paths for drones...

  • Article
  • Open Access
8 Citations
2,479 Views
23 Pages

Predictive Models for Aggregate Available Capacity Prediction in Vehicle-to-Grid Applications

  • Luca Patanè,
  • Francesca Sapuppo,
  • Giuseppe Napoli and
  • Maria Gabriella Xibilia

The integration of vehicle-to-grid (V2G) technology into smart energy management systems represents a significant advancement in the field of energy suppliers for Industry 4.0. V2G systems enable a bidirectional flow of energy between electric vehicl...

  • Article
  • Open Access
3,064 Views
26 Pages

Classifying the Cognitive Performance of Drivers While Talking on Hands-Free Mobile Phone Based on Innovative Sensors and Intelligent Approach

  • Boniface Ndubuisi Ossai,
  • Mhd Saeed Sharif,
  • Cynthia Fu,
  • Jijomon Chettuthara Moncy,
  • Arya Murali and
  • Fahad Alblehai

The use of mobile phones while driving is restricted to hands-free mode. But even in the hands-free mode, the use of mobile phones while driving causes cognitive distraction due to the diverted attention of the driver. By employing innovative machine...

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J. Sens. Actuator Netw. - ISSN 2224-2708