A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity
An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and arti...
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| 格式: | 文件 |
| 语言: | English |
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Shahid Rajaee Teacher Training University
2017-07-01
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| 丛编: | Journal of Electrical and Computer Engineering Innovations |
| 主题: | |
| 在线阅读: | https://jecei.sru.ac.ir/article_702_85f5bdea0ad6a5d5bfbf55ef723d2709.pdf |
| _version_ | 1828795837714530304 |
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| author | S.A. Hossain A. Mallik Md. A. Arefin |
| author_facet | S.A. Hossain A. Mallik Md. A. Arefin |
| author_sort | S.A. Hossain |
| collection | DOAJ |
| description | An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandatory to continue an underwater network properly. To solve the problem, we used a statistical tool called cross-correlation technique, which is a significant aspect in signal processing approach. We have considered the mean of cross-correlation function (CCF) of the cardinalities as the estimation parameter in order to reduce the complexity compared to the former techniques. We have used a suitable acoustic signal called CHIRP signal for the estimation purpose which can ensure better performance for harsh underwater practical conditions. The process is shown for both two and three sensors cases. Finally, we have verified this proposed theory by a simulation in MATLAB programming environment. |
| first_indexed | 2024-12-12T04:11:51Z |
| format | Article |
| id | doaj.art-b8542758faaa41acb462484ff03572c1 |
| institution | Directory Open Access Journal |
| issn | 2322-3952 2345-3044 |
| language | English |
| last_indexed | 2024-12-12T04:11:51Z |
| publishDate | 2017-07-01 |
| publisher | Shahid Rajaee Teacher Training University |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering Innovations |
| spelling | doaj.art-b8542758faaa41acb462484ff03572c12022-12-22T00:38:36ZengShahid Rajaee Teacher Training UniversityJournal of Electrical and Computer Engineering Innovations2322-39522345-30442017-07-015213113810.22061/jecei.2017.702702A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower ComplexityS.A. Hossain0A. Mallik1Md. A. Arefin2Department of Electronics and Telecommunication Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, BangladeshDepartment of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, BangladeshDepartment of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, BangladeshAn inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandatory to continue an underwater network properly. To solve the problem, we used a statistical tool called cross-correlation technique, which is a significant aspect in signal processing approach. We have considered the mean of cross-correlation function (CCF) of the cardinalities as the estimation parameter in order to reduce the complexity compared to the former techniques. We have used a suitable acoustic signal called CHIRP signal for the estimation purpose which can ensure better performance for harsh underwater practical conditions. The process is shown for both two and three sensors cases. Finally, we have verified this proposed theory by a simulation in MATLAB programming environment.https://jecei.sru.ac.ir/article_702_85f5bdea0ad6a5d5bfbf55ef723d2709.pdfbinschirp signalcross-correlationunderwater network cardinality (node)mean |
| spellingShingle | S.A. Hossain A. Mallik Md. A. Arefin A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity Journal of Electrical and Computer Engineering Innovations bins chirp signal cross-correlation underwater network cardinality (node) mean |
| title | A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity |
| title_full | A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity |
| title_fullStr | A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity |
| title_full_unstemmed | A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity |
| title_short | A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity |
| title_sort | signal processing approach to estimate underwater network cardinalities with lower complexity |
| topic | bins chirp signal cross-correlation underwater network cardinality (node) mean |
| url | https://jecei.sru.ac.ir/article_702_85f5bdea0ad6a5d5bfbf55ef723d2709.pdf |
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