Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering
Wireless technology has been introduced and growing since early twentieth century, but there are still environments the current technologies find it difficult to penetrate. The dense jungle terrain, for example, pose a huge challenge for the 0.12 m wavelength of the Wi-Fi signals, but the FM radi...
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Online Access: | http://ir.unimas.my/id/eprint/10592/1/NO%2050%20Evaluation%20of%20sound%20perception%20to%20identify%20candidate%20frequency%20for%20wireless%20networking%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/10592/ http://link.springer.com/chapter/10.1007%2F978-3-319-06764-3_43 |
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my.unimas.ir.105922016-10-24T02:26:33Z http://ir.unimas.my/id/eprint/10592/ Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering Mathew, Kuruvilla Tan, Chong Eng Biju, Issac T Technology (General) Wireless technology has been introduced and growing since early twentieth century, but there are still environments the current technologies find it difficult to penetrate. The dense jungle terrain, for example, pose a huge challenge for the 0.12 m wavelength of the Wi-Fi signals, but the FM radio frequency signals at a wavelength of 3 m function a lot better. This paper studies the possibility of using a very low frequency, down to the range of audible frequencies to try and identify the frequency band that can be used, ubiquitously and unobtrusively. Sound can be considered as a ubiquitous signal due to obvious reasons and the search is to find the unobtrusive frequency band that can be a candidate frequency for data carrier signals. The paper is presented in two sections, the first section does a geographically and age neutral survey to identify the unobtrusive signal and second section analyses the noise profiles in these frequency bands Springer International Publishing 2015 Book Section PeerReviewed text en http://ir.unimas.my/id/eprint/10592/1/NO%2050%20Evaluation%20of%20sound%20perception%20to%20identify%20candidate%20frequency%20for%20wireless%20networking%20%28abstract%29.pdf Mathew, Kuruvilla and Tan, Chong Eng and Biju, Issac (2015) Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. In: New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, 312 (312). Springer International Publishing, pp. 349-359. ISBN Online ISBN 978-3-319-06764-3 http://link.springer.com/chapter/10.1007%2F978-3-319-06764-3_43 10.1007/978-3-319-06764-3_43 |
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T Technology (General) Mathew, Kuruvilla Tan, Chong Eng Biju, Issac Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering |
description |
Wireless technology has been introduced and growing since early twentieth century, but
there are still environments the current technologies find it difficult to penetrate. The dense
jungle terrain, for example, pose a huge challenge for the 0.12 m wavelength of the Wi-Fi
signals, but the FM radio frequency signals at a wavelength of 3 m function a lot better.
This paper studies the possibility of using a very low frequency, down to the range of
audible frequencies to try and identify the frequency band that can be used, ubiquitously
and unobtrusively. Sound can be considered as a ubiquitous signal due to obvious reasons
and the search is to find the unobtrusive frequency band that can be a candidate frequency
for data carrier signals. The paper is presented in two sections, the first section does a
geographically and age neutral survey to identify the unobtrusive signal and second section
analyses the noise profiles in these frequency bands |
format |
Book Section |
author |
Mathew, Kuruvilla Tan, Chong Eng Biju, Issac |
author_facet |
Mathew, Kuruvilla Tan, Chong Eng Biju, Issac |
author_sort |
Mathew, Kuruvilla |
title |
Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering |
title_short |
Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering |
title_full |
Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering |
title_fullStr |
Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering |
title_full_unstemmed |
Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering |
title_sort |
evaluation of sound perception to identify candidate frequency for wireless networking ; chapter in : new trends in networking, computing, e-learning, systems sciences, and engineering |
publisher |
Springer International Publishing |
publishDate |
2015 |
url |
http://ir.unimas.my/id/eprint/10592/1/NO%2050%20Evaluation%20of%20sound%20perception%20to%20identify%20candidate%20frequency%20for%20wireless%20networking%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/10592/ http://link.springer.com/chapter/10.1007%2F978-3-319-06764-3_43 |
_version_ |
1644511004585885696 |