Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions
Malicious anchor node is a serious issue in underwater sensor networks. This problem gets compounded under sparse deployment scenario. To overcome this issue, the authors present a <bold>C</bold>ompressed <bold>S</bold>ensing for <bold>M</bold>alicious node <bo...
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IEEE
2021-01-01
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Online Access: | https://ieeexplore.ieee.org/document/9661400/ |
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author | Prateek Kundan Kumar Krishna Pandey Saurabh Chandra Rajeev Arya |
author_facet | Prateek Kundan Kumar Krishna Pandey Saurabh Chandra Rajeev Arya |
author_sort | Prateek |
collection | DOAJ |
description | Malicious anchor node is a serious issue in underwater sensor networks. This problem gets compounded under sparse deployment scenario. To overcome this issue, the authors present a <bold>C</bold>ompressed <bold>S</bold>ensing for <bold>M</bold>alicious node <bold>C</bold>ompensation theorem (abbreviated as CS-MC Theorem) which would be applicable to underwater localization. To counter malicious node behavior, CS-MC Theorem is justified through three lemmas. For underwater acoustic propagation, a specific L<sub>1</sub>-norm minimization method is derived. It describes the condition for unique localization of target by discretizing the target search space. Malicious node is identified by inserting the anchor nodes into the discretized grid. An insertion vector concept is introduced to determine the extent of node metastasis. Derivations are performed to prove the mathematical basis of the proposed algorithm under acoustically stratified and unstratified scenarios. Numerical results establish the feasibility of CS-MC algorithm for sparse underwater acoustic sensor network. |
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format | Article |
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issn | 2169-3536 |
language | English |
last_indexed | 2024-12-18T05:02:50Z |
publishDate | 2021-01-01 |
publisher | IEEE |
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series | IEEE Access |
spelling | doaj.art-f705c8af07154fa290715be84c0b17d52022-12-21T21:20:06ZengIEEEIEEE Access2169-35362021-01-01916937216938610.1109/ACCESS.2021.31380259661400Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions Prateek0https://orcid.org/0000-0002-5171-8173Kundan Kumar1Krishna Pandey2Saurabh Chandra3Rajeev Arya4https://orcid.org/0000-0002-0346-2150Department of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaDepartment of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaDepartment of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaDepartment of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaDepartment of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaMalicious anchor node is a serious issue in underwater sensor networks. This problem gets compounded under sparse deployment scenario. To overcome this issue, the authors present a <bold>C</bold>ompressed <bold>S</bold>ensing for <bold>M</bold>alicious node <bold>C</bold>ompensation theorem (abbreviated as CS-MC Theorem) which would be applicable to underwater localization. To counter malicious node behavior, CS-MC Theorem is justified through three lemmas. For underwater acoustic propagation, a specific L<sub>1</sub>-norm minimization method is derived. It describes the condition for unique localization of target by discretizing the target search space. Malicious node is identified by inserting the anchor nodes into the discretized grid. An insertion vector concept is introduced to determine the extent of node metastasis. Derivations are performed to prove the mathematical basis of the proposed algorithm under acoustically stratified and unstratified scenarios. Numerical results establish the feasibility of CS-MC algorithm for sparse underwater acoustic sensor network.https://ieeexplore.ieee.org/document/9661400/Underwater sensor localizationcompressive acoustic sensingsound speed stratificationinsertion functionmalicious anchor node |
spellingShingle | Prateek Kundan Kumar Krishna Pandey Saurabh Chandra Rajeev Arya Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions IEEE Access Underwater sensor localization compressive acoustic sensing sound speed stratification insertion function malicious anchor node |
title | Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions |
title_full | Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions |
title_fullStr | Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions |
title_full_unstemmed | Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions |
title_short | Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions |
title_sort | evaluation of node metastasis in sparse underwater acoustic sensor networks for localization under acoustically stratified malicious node conditions |
topic | Underwater sensor localization compressive acoustic sensing sound speed stratification insertion function malicious anchor node |
url | https://ieeexplore.ieee.org/document/9661400/ |
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