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Wireless Data Sensor Systems and Sensing Networks
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Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Commentary - (2022) Volume 15, Issue 10

Wireless Data Sensor Systems and Sensing Networks

Forbes Richard*
*Correspondence: Forbes Richard, Department of Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA, Email:
Department of Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA

Received: 07-Oct-2022, Manuscript No. jcsb-22-84874; Editor assigned: 08-Oct-2022, Pre QC No. P-84874; Reviewed: 21-Oct-2022, QC No. Q-84874; Revised: 26-Oct-2022, Manuscript No. R-84874; Published: 03-Nov-2022 , DOI: 10.37421/0974-7230.2022.15.437
Citation: Richard, Forbes. “Wireless Data Sensor Systems and Sensing Networks.” J Comput Sci Syst Biol 15 (2022): 437.
Copyright: © 2022 Richard F. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Description

Optical fibre sensors have several advantages over other types of sensors. These benefits are primarily due to the optical fiber's properties, which include being small, lightweight, resistant to high temperatures and pressure, and electromagnetically passive, among others. Exploring the properties of light to obtain measurements of parameters such as temperature, strain, or angular velocity is how sensing is accomplished. Furthermore, optical fibre sensors can be used to create an Optical Fiber Sensing Network (OFSN), which allows manufacturers to create versatile monitoring solutions with a variety of applications, such as periodic monitoring over long distances (kilometres), in extreme or hazardous environments, inside structures and engines, in clothing, and for health monitoring and assistance.

The majority of the literature on this subject focuses on a specific field of optical sensing applications and details their operating principles. This paper provides a more comprehensive overview, including a literature review that describes the fundamental principles of optical sensing and highlights the versatility, benefits, and various real-world applications of optical sensing. Moreover, it includes an overview and discussion of a less common architecture, where optical sensing and Wireless Sensor Networks (WSNs) are integrated to harness the benefits of both worlds. The advancement of optical fibre technology was a significant step forward in global communications technology. The advent of low-attenuation optical fibres in the 1970s enabled high-bandwidth long-distance communications. Since then, production volume has increased, and by 2000, optical fibres had already been rapidly installed around the world [1-3]. The advancement of optical fibre technology also allowed for the development of devices for optical processing entirely in fibre, reducing insertion losses and improving processing quality. One factor that contributed to the full migration of optical fibre technology was the identification of photosensitive optical fibres.

The advancement of optical fibre technology was a significant step forward in global communications technology. The advent of low-attenuation optical fibres in the 1970s enabled high-bandwidth long-distance communications. Since then, production volume has increased, and by 2000, optical fibres had already been rapidly installed around the world. The advancement of optical fibre technology also allowed for the development of devices for optical processing entirely in fibre, reducing insertion losses and improving processing quality. One factor that contributed to the full migration of optical fibre technology was the identification of photosensitive optical fibres. Optical fibres offer high-performance sensing solutions for a wide range of applications and environments. Fiber sensors can be designed to take advantage of one or more optical parameters of guided light, such as intensity, phase, polarisation, and wavelength. The optical fibre has dual functionality: it can measure several parameters by changing the properties of light propagating through the fibre, and it can also function as a communications channel, eliminating the need for an additional dedicated communication channel and thus providing an advantage over all other sensing technologies.

Electromagnetically, optical fibre sensors are inactive. This property is critical because it enables the use of optical sensors in situations where other types of sensors cannot be used, such as in high and variable electric field environments where there is a risk of explosion [4,5]. Furthermore, the silica compound, which is the basic optical fibre transduction material, is resistant to most chemical and biological agents and can thus be used in this type of environment and materials. Another advantage of optical fibre sensors is that they can be small and lightweight. Because the fibre has low optical attenuation, it can transmit signals over long distances (kilometres) between monitoring stations. Low attenuation is also required for multiplexed measurements. It is possible to operate large arrays of distributed sensors without active optoelectronic components in the measurement area by using a single optical source and detection unit. As a result, electromagnetic passiveness and environmental resistance can be preserved. Optical fibre sensor systems are typically used in fixed locations. As a result, extensive lengths of fibre optic cable are required to connect all of the sensors and create an optical fibre network, which can be costly and impractical. Wireless Sensor Networks (WSNs) have received a lot of attention in recent years because of their ability to collect data on parameters like temperature, pressure, acceleration, and vibration. Nonetheless, most WSN systems do not incorporate optical fibre sensors and thus do not benefit from their unique properties and advantages. As a result, incorporating optical fibre sensors into WSNs provides advantages and new capabilities for the design of advanced hybrid-sensing systems.

Acknowledgement

None.

Conflict of Interest

Authors declare no conflict of interest.

References

  1. Aidoun, Zine, Khaled Ameur, Mehdi Falsafioon and Messaoud Badache. "Current advances in ejector modeling, experimentation and applications for refrigeration and heat pumps. Part 1: Single-phase ejectors." Inventions 4 (2019): 15.
  2. Google Scholar, Crossref, Indexed at

  3. Lee, Seungkwang, Taesung Kim and Yousung Kang. "A masked white-box cryptographic implementation for protecting against differential computation analysis." IEEE Trans Inf Forensics Secur 13 (2018): 2602-2615.
  4. Google Scholar, Crossref, Indexed at

  5. Goubin, Louis, Pascal Paillier, Matthieu Rivain and Junwei Wang. "How to reveal the secrets of an obscure white-box implementation." J Cryptogr Eng 10 (2020): 49-66.
  6. Google Scholar, Crossref, Indexed at

  7. Zhou, Wujie, Ying Lv, Jingsheng Lei and Lu Yu, et al. "Global and local-contrast guides content-aware fusion for RGB-D saliency prediction." IEEE Trans Syst Man Cybern Syst 51(2019): 3641-3649.
  8. Google Scholar, Crossref, Indexed at

  9. Sheng, Shuran, Peng Chen, Zhimin Chen and Lenan Wu, et al. "Deep reinforcement learning-based task scheduling in iot edge computing." Sensors 21 (2021): 1666.
  10. Google Scholar, Crossref, Indexed at

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